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anhnv125

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ud_alpaca

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As a helpful and smart assistant, your task is to parse a given text in any language to Universal Dependency (UD) format including POS tags and dependency relations (HEAD and DEPREL). Key Components of UD Annotation: 1. Tokens: The fundamental units within UD are tokens. These can be individual words, punctuation marks, or even parts of multi-word expressions. Each token has several associated attributes. 2. UPOS Tags: The UPOS field in the CoNLL-U format represents the universal part-of-speech tag assigned to each word. This tag is part of a universal POS tag set designed to be applicable across different languages. The UPOS tags include categories such as NOUN, VERB, ADJ (adjective), ADV (adverb), PRON (pronoun), DET (determiner), and more. 3. Dependency Relations: Dependency relations are the core of the syntactic representation. They form a tree structure over the tokens in a sentence. Here's how they work: - HEAD: This field indicates the head of the current word. The head is the word that the current word is connected to in the dependency parse tree. The value is an integer that corresponds to the ID of the head word within the same sentence. A value of zero (0) indicates that the word is the root of the sentence. - DEPREL: The DEPREL field specifies the type of dependency relation between the current word and its head (as specified in the HEAD field). The value is a universal dependency relation or a language-specific subtype of such a relation. Note: Blank lines are used to mark the boundaries between sentences. Example: Let's analyze this sentence with its UD annotation: "The big dog chased the cat." 1. Tokenization: - The - big - dog - chased - the - cat - . 2. UPOS Tags: - The: DET - big: ADJ - dog: NOUN - chased: VERB - the: DET - cat: NOUN - .: PUNCT 3. Head node (parent): - The: the parent of this word is "dog" at position 3 - big: the parent of this word is "dog" at position 3 - dog: the parent of this word is "chased" at position 4 - chased: this is the root node, therefore its head is 0 - the: the parent of this word is "cat" at position 6 - cat: the parent of this word is "chased" at position 4 - .: the parent of this word is "chased" at position 4 3. Dependency Relations: - root(ROOT, chased) - det(dog, The) - amod(dog, big) - nsubj(chased, dog) - det(cat, the) - obj(chased, cat) Combining the above annotations, the final output in UD format is: Position Tokenization UPOS Head Deprel 1 The DET 3 det 2 big ADJ 3 amod 3 dog NOUN 4 nsubj 4 chased VERB 0 ROOT 5 the DET 6 det 6 cat NOUN 4 obj 7 . PUNCT 4 punct

Generate UD annotations for the following text: Пры царкве адкрыліся 2-месячныя пастарскія курсы.

Position Tokenization UPOS Head Deprel 1 Пры ADP 2 case 2 царкве NOUN 3 obl 3 адкрыліся VERB 0 root 4 2-месячныя ADJ 6 amod 5 пастарскія ADJ 6 amod 6 курсы NOUN 3 nsubj 7 . PUNCT 3 punct

As a helpful and smart assistant, your task is to parse a given text in any language to Universal Dependency (UD) format including POS tags and dependency relations (HEAD and DEPREL). Key Components of UD Annotation: 1. Tokens: The fundamental units within UD are tokens. These can be individual words, punctuation marks, or even parts of multi-word expressions. Each token has several associated attributes. 2. UPOS Tags: The UPOS field in the CoNLL-U format represents the universal part-of-speech tag assigned to each word. This tag is part of a universal POS tag set designed to be applicable across different languages. The UPOS tags include categories such as NOUN, VERB, ADJ (adjective), ADV (adverb), PRON (pronoun), DET (determiner), and more. 3. Dependency Relations: Dependency relations are the core of the syntactic representation. They form a tree structure over the tokens in a sentence. Here's how they work: - HEAD: This field indicates the head of the current word. The head is the word that the current word is connected to in the dependency parse tree. The value is an integer that corresponds to the ID of the head word within the same sentence. A value of zero (0) indicates that the word is the root of the sentence. - DEPREL: The DEPREL field specifies the type of dependency relation between the current word and its head (as specified in the HEAD field). The value is a universal dependency relation or a language-specific subtype of such a relation. Note: Blank lines are used to mark the boundaries between sentences. Example: Let's analyze this sentence with its UD annotation: "The big dog chased the cat." 1. Tokenization: - The - big - dog - chased - the - cat - . 2. UPOS Tags: - The: DET - big: ADJ - dog: NOUN - chased: VERB - the: DET - cat: NOUN - .: PUNCT 3. Head node (parent): - The: the parent of this word is "dog" at position 3 - big: the parent of this word is "dog" at position 3 - dog: the parent of this word is "chased" at position 4 - chased: this is the root node, therefore its head is 0 - the: the parent of this word is "cat" at position 6 - cat: the parent of this word is "chased" at position 4 - .: the parent of this word is "chased" at position 4 3. Dependency Relations: - root(ROOT, chased) - det(dog, The) - amod(dog, big) - nsubj(chased, dog) - det(cat, the) - obj(chased, cat) Combining the above annotations, the final output in UD format is: Position Tokenization UPOS Head Deprel 1 The DET 3 det 2 big ADJ 3 amod 3 dog NOUN 4 nsubj 4 chased VERB 0 ROOT 5 the DET 6 det 6 cat NOUN 4 obj 7 . PUNCT 4 punct

Generate UD annotations for the following text: Падчас 2-й Сусьветнае вайны будынак моцна пацярпеў.

Position Tokenization UPOS Head Deprel 1 Падчас ADP 4 case 2 2-й ADJ 4 amod 3 Сусьветнае ADJ 4 amod 4 вайны NOUN 7 obl 5 будынак NOUN 7 nsubj 6 моцна ADV 7 advmod 7 пацярпеў VERB 0 root 8 . PUNCT 7 punct

As a helpful and smart assistant, your task is to parse a given text in any language to Universal Dependency (UD) format including POS tags and dependency relations (HEAD and DEPREL). Key Components of UD Annotation: 1. Tokens: The fundamental units within UD are tokens. These can be individual words, punctuation marks, or even parts of multi-word expressions. Each token has several associated attributes. 2. UPOS Tags: The UPOS field in the CoNLL-U format represents the universal part-of-speech tag assigned to each word. This tag is part of a universal POS tag set designed to be applicable across different languages. The UPOS tags include categories such as NOUN, VERB, ADJ (adjective), ADV (adverb), PRON (pronoun), DET (determiner), and more. 3. Dependency Relations: Dependency relations are the core of the syntactic representation. They form a tree structure over the tokens in a sentence. Here's how they work: - HEAD: This field indicates the head of the current word. The head is the word that the current word is connected to in the dependency parse tree. The value is an integer that corresponds to the ID of the head word within the same sentence. A value of zero (0) indicates that the word is the root of the sentence. - DEPREL: The DEPREL field specifies the type of dependency relation between the current word and its head (as specified in the HEAD field). The value is a universal dependency relation or a language-specific subtype of such a relation. Note: Blank lines are used to mark the boundaries between sentences. Example: Let's analyze this sentence with its UD annotation: "The big dog chased the cat." 1. Tokenization: - The - big - dog - chased - the - cat - . 2. UPOS Tags: - The: DET - big: ADJ - dog: NOUN - chased: VERB - the: DET - cat: NOUN - .: PUNCT 3. Head node (parent): - The: the parent of this word is "dog" at position 3 - big: the parent of this word is "dog" at position 3 - dog: the parent of this word is "chased" at position 4 - chased: this is the root node, therefore its head is 0 - the: the parent of this word is "cat" at position 6 - cat: the parent of this word is "chased" at position 4 - .: the parent of this word is "chased" at position 4 3. Dependency Relations: - root(ROOT, chased) - det(dog, The) - amod(dog, big) - nsubj(chased, dog) - det(cat, the) - obj(chased, cat) Combining the above annotations, the final output in UD format is: Position Tokenization UPOS Head Deprel 1 The DET 3 det 2 big ADJ 3 amod 3 dog NOUN 4 nsubj 4 chased VERB 0 ROOT 5 the DET 6 det 6 cat NOUN 4 obj 7 . PUNCT 4 punct

Generate UD annotations for the following text: Пасьля вайны, царкву зноў зачынілі й сталі выкарыстоўваць як жытло.

Position Tokenization UPOS Head Deprel 1 Пасьля ADP 2 case 2 вайны NOUN 0 root 3 , PUNCT 6 punct 4 царкву NOUN 6 obj 5 зноў ADV 6 advmod 6 зачынілі VERB 2 acl:relcl 7 й CCONJ 8 cc 8 сталі VERB 6 conj 9 выкарыстоўваць VERB 8 xcomp 10 як SCONJ 11 case 11 жытло NOUN 9 obl 12 . PUNCT 2 punct

As a helpful and smart assistant, your task is to parse a given text in any language to Universal Dependency (UD) format including POS tags and dependency relations (HEAD and DEPREL). Key Components of UD Annotation: 1. Tokens: The fundamental units within UD are tokens. These can be individual words, punctuation marks, or even parts of multi-word expressions. Each token has several associated attributes. 2. UPOS Tags: The UPOS field in the CoNLL-U format represents the universal part-of-speech tag assigned to each word. This tag is part of a universal POS tag set designed to be applicable across different languages. The UPOS tags include categories such as NOUN, VERB, ADJ (adjective), ADV (adverb), PRON (pronoun), DET (determiner), and more. 3. Dependency Relations: Dependency relations are the core of the syntactic representation. They form a tree structure over the tokens in a sentence. Here's how they work: - HEAD: This field indicates the head of the current word. The head is the word that the current word is connected to in the dependency parse tree. The value is an integer that corresponds to the ID of the head word within the same sentence. A value of zero (0) indicates that the word is the root of the sentence. - DEPREL: The DEPREL field specifies the type of dependency relation between the current word and its head (as specified in the HEAD field). The value is a universal dependency relation or a language-specific subtype of such a relation. Note: Blank lines are used to mark the boundaries between sentences. Example: Let's analyze this sentence with its UD annotation: "The big dog chased the cat." 1. Tokenization: - The - big - dog - chased - the - cat - . 2. UPOS Tags: - The: DET - big: ADJ - dog: NOUN - chased: VERB - the: DET - cat: NOUN - .: PUNCT 3. Head node (parent): - The: the parent of this word is "dog" at position 3 - big: the parent of this word is "dog" at position 3 - dog: the parent of this word is "chased" at position 4 - chased: this is the root node, therefore its head is 0 - the: the parent of this word is "cat" at position 6 - cat: the parent of this word is "chased" at position 4 - .: the parent of this word is "chased" at position 4 3. Dependency Relations: - root(ROOT, chased) - det(dog, The) - amod(dog, big) - nsubj(chased, dog) - det(cat, the) - obj(chased, cat) Combining the above annotations, the final output in UD format is: Position Tokenization UPOS Head Deprel 1 The DET 3 det 2 big ADJ 3 amod 3 dog NOUN 4 nsubj 4 chased VERB 0 ROOT 5 the DET 6 det 6 cat NOUN 4 obj 7 . PUNCT 4 punct

Generate UD annotations for the following text: Пазьней тут месьціліся Архіў навукова-тэхнічнае дакумэнтацыі БССР і Архіў-музэй літаратуры й мастацтва БССР.

Position Tokenization UPOS Head Deprel 1 Пазьней ADV 3 advmod 2 тут ADV 3 advmod 3 месьціліся VERB 0 root 4 Архіў NOUN 3 nsubj 5 навукова-тэхнічнае ADJ 6 amod 6 дакумэнтацыі NOUN 4 nmod 7 БССР PROPN 6 appos 8 і CCONJ 9 cc 9 Архіў-музэй NOUN 7 conj 10 літаратуры NOUN 9 nmod 11 й CCONJ 12 cc 12 мастацтва NOUN 10 conj 13 БССР PROPN 12 nmod 14 . PUNCT 3 punct

As a helpful and smart assistant, your task is to parse a given text in any language to Universal Dependency (UD) format including POS tags and dependency relations (HEAD and DEPREL). Key Components of UD Annotation: 1. Tokens: The fundamental units within UD are tokens. These can be individual words, punctuation marks, or even parts of multi-word expressions. Each token has several associated attributes. 2. UPOS Tags: The UPOS field in the CoNLL-U format represents the universal part-of-speech tag assigned to each word. This tag is part of a universal POS tag set designed to be applicable across different languages. The UPOS tags include categories such as NOUN, VERB, ADJ (adjective), ADV (adverb), PRON (pronoun), DET (determiner), and more. 3. Dependency Relations: Dependency relations are the core of the syntactic representation. They form a tree structure over the tokens in a sentence. Here's how they work: - HEAD: This field indicates the head of the current word. The head is the word that the current word is connected to in the dependency parse tree. The value is an integer that corresponds to the ID of the head word within the same sentence. A value of zero (0) indicates that the word is the root of the sentence. - DEPREL: The DEPREL field specifies the type of dependency relation between the current word and its head (as specified in the HEAD field). The value is a universal dependency relation or a language-specific subtype of such a relation. Note: Blank lines are used to mark the boundaries between sentences. Example: Let's analyze this sentence with its UD annotation: "The big dog chased the cat." 1. Tokenization: - The - big - dog - chased - the - cat - . 2. UPOS Tags: - The: DET - big: ADJ - dog: NOUN - chased: VERB - the: DET - cat: NOUN - .: PUNCT 3. Head node (parent): - The: the parent of this word is "dog" at position 3 - big: the parent of this word is "dog" at position 3 - dog: the parent of this word is "chased" at position 4 - chased: this is the root node, therefore its head is 0 - the: the parent of this word is "cat" at position 6 - cat: the parent of this word is "chased" at position 4 - .: the parent of this word is "chased" at position 4 3. Dependency Relations: - root(ROOT, chased) - det(dog, The) - amod(dog, big) - nsubj(chased, dog) - det(cat, the) - obj(chased, cat) Combining the above annotations, the final output in UD format is: Position Tokenization UPOS Head Deprel 1 The DET 3 det 2 big ADJ 3 amod 3 dog NOUN 4 nsubj 4 chased VERB 0 ROOT 5 the DET 6 det 6 cat NOUN 4 obj 7 . PUNCT 4 punct

Generate UD annotations for the following text: У 1972-79 гг. царкву часткова адрэстаўравалі й аднавілі выгляд 17-18 стагодзьдзя.

Position Tokenization UPOS Head Deprel 1 У ADP 2 case 2 1972- SYM 7 parataxis 3 79 NUM 2 nummod 4 гг. NOUN 2 nmod 5 царкву NOUN 7 obj 6 часткова ADV 7 advmod 7 адрэстаўравалі VERB 0 root 8 й CCONJ 9 cc 9 аднавілі VERB 7 conj 10 выгляд NOUN 9 obj 11 17 ADJ 13 compound 12 - PUNCT 11 punct 13 18 ADJ 14 amod 14 стагодзьдзя NOUN 10 nmod 15 . PUNCT 7 punct

As a helpful and smart assistant, your task is to parse a given text in any language to Universal Dependency (UD) format including POS tags and dependency relations (HEAD and DEPREL). Key Components of UD Annotation: 1. Tokens: The fundamental units within UD are tokens. These can be individual words, punctuation marks, or even parts of multi-word expressions. Each token has several associated attributes. 2. UPOS Tags: The UPOS field in the CoNLL-U format represents the universal part-of-speech tag assigned to each word. This tag is part of a universal POS tag set designed to be applicable across different languages. The UPOS tags include categories such as NOUN, VERB, ADJ (adjective), ADV (adverb), PRON (pronoun), DET (determiner), and more. 3. Dependency Relations: Dependency relations are the core of the syntactic representation. They form a tree structure over the tokens in a sentence. Here's how they work: - HEAD: This field indicates the head of the current word. The head is the word that the current word is connected to in the dependency parse tree. The value is an integer that corresponds to the ID of the head word within the same sentence. A value of zero (0) indicates that the word is the root of the sentence. - DEPREL: The DEPREL field specifies the type of dependency relation between the current word and its head (as specified in the HEAD field). The value is a universal dependency relation or a language-specific subtype of such a relation. Note: Blank lines are used to mark the boundaries between sentences. Example: Let's analyze this sentence with its UD annotation: "The big dog chased the cat." 1. Tokenization: - The - big - dog - chased - the - cat - . 2. UPOS Tags: - The: DET - big: ADJ - dog: NOUN - chased: VERB - the: DET - cat: NOUN - .: PUNCT 3. Head node (parent): - The: the parent of this word is "dog" at position 3 - big: the parent of this word is "dog" at position 3 - dog: the parent of this word is "chased" at position 4 - chased: this is the root node, therefore its head is 0 - the: the parent of this word is "cat" at position 6 - cat: the parent of this word is "chased" at position 4 - .: the parent of this word is "chased" at position 4 3. Dependency Relations: - root(ROOT, chased) - det(dog, The) - amod(dog, big) - nsubj(chased, dog) - det(cat, the) - obj(chased, cat) Combining the above annotations, the final output in UD format is: Position Tokenization UPOS Head Deprel 1 The DET 3 det 2 big ADJ 3 amod 3 dog NOUN 4 nsubj 4 chased VERB 0 ROOT 5 the DET 6 det 6 cat NOUN 4 obj 7 . PUNCT 4 punct

Generate UD annotations for the following text: Вернуты вернікам у 1991 годзе.

Position Tokenization UPOS Head Deprel 1 Вернуты VERB 0 root 2 вернікам NOUN 1 iobj 3 у ADP 5 case 4 1991 ADJ 5 amod 5 годзе NOUN 1 obl 6 . PUNCT 1 punct

As a helpful and smart assistant, your task is to parse a given text in any language to Universal Dependency (UD) format including POS tags and dependency relations (HEAD and DEPREL). Key Components of UD Annotation: 1. Tokens: The fundamental units within UD are tokens. These can be individual words, punctuation marks, or even parts of multi-word expressions. Each token has several associated attributes. 2. UPOS Tags: The UPOS field in the CoNLL-U format represents the universal part-of-speech tag assigned to each word. This tag is part of a universal POS tag set designed to be applicable across different languages. The UPOS tags include categories such as NOUN, VERB, ADJ (adjective), ADV (adverb), PRON (pronoun), DET (determiner), and more. 3. Dependency Relations: Dependency relations are the core of the syntactic representation. They form a tree structure over the tokens in a sentence. Here's how they work: - HEAD: This field indicates the head of the current word. The head is the word that the current word is connected to in the dependency parse tree. The value is an integer that corresponds to the ID of the head word within the same sentence. A value of zero (0) indicates that the word is the root of the sentence. - DEPREL: The DEPREL field specifies the type of dependency relation between the current word and its head (as specified in the HEAD field). The value is a universal dependency relation or a language-specific subtype of such a relation. Note: Blank lines are used to mark the boundaries between sentences. Example: Let's analyze this sentence with its UD annotation: "The big dog chased the cat." 1. Tokenization: - The - big - dog - chased - the - cat - . 2. UPOS Tags: - The: DET - big: ADJ - dog: NOUN - chased: VERB - the: DET - cat: NOUN - .: PUNCT 3. Head node (parent): - The: the parent of this word is "dog" at position 3 - big: the parent of this word is "dog" at position 3 - dog: the parent of this word is "chased" at position 4 - chased: this is the root node, therefore its head is 0 - the: the parent of this word is "cat" at position 6 - cat: the parent of this word is "chased" at position 4 - .: the parent of this word is "chased" at position 4 3. Dependency Relations: - root(ROOT, chased) - det(dog, The) - amod(dog, big) - nsubj(chased, dog) - det(cat, the) - obj(chased, cat) Combining the above annotations, the final output in UD format is: Position Tokenization UPOS Head Deprel 1 The DET 3 det 2 big ADJ 3 amod 3 dog NOUN 4 nsubj 4 chased VERB 0 ROOT 5 the DET 6 det 6 cat NOUN 4 obj 7 . PUNCT 4 punct

Generate UD annotations for the following text: Скрыжаваньне вуліц Ракаўскай і Нямігі 1965

Position Tokenization UPOS Head Deprel 1 Скрыжаваньне NOUN 6 nsubj 2 вуліц NOUN 1 nmod 3 Ракаўскай ADJ 2 amod 4 і CCONJ 5 cc 5 Нямігі PROPN 3 conj 6 1965 ADJ 0 root

As a helpful and smart assistant, your task is to parse a given text in any language to Universal Dependency (UD) format including POS tags and dependency relations (HEAD and DEPREL). Key Components of UD Annotation: 1. Tokens: The fundamental units within UD are tokens. These can be individual words, punctuation marks, or even parts of multi-word expressions. Each token has several associated attributes. 2. UPOS Tags: The UPOS field in the CoNLL-U format represents the universal part-of-speech tag assigned to each word. This tag is part of a universal POS tag set designed to be applicable across different languages. The UPOS tags include categories such as NOUN, VERB, ADJ (adjective), ADV (adverb), PRON (pronoun), DET (determiner), and more. 3. Dependency Relations: Dependency relations are the core of the syntactic representation. They form a tree structure over the tokens in a sentence. Here's how they work: - HEAD: This field indicates the head of the current word. The head is the word that the current word is connected to in the dependency parse tree. The value is an integer that corresponds to the ID of the head word within the same sentence. A value of zero (0) indicates that the word is the root of the sentence. - DEPREL: The DEPREL field specifies the type of dependency relation between the current word and its head (as specified in the HEAD field). The value is a universal dependency relation or a language-specific subtype of such a relation. Note: Blank lines are used to mark the boundaries between sentences. Example: Let's analyze this sentence with its UD annotation: "The big dog chased the cat." 1. Tokenization: - The - big - dog - chased - the - cat - . 2. UPOS Tags: - The: DET - big: ADJ - dog: NOUN - chased: VERB - the: DET - cat: NOUN - .: PUNCT 3. Head node (parent): - The: the parent of this word is "dog" at position 3 - big: the parent of this word is "dog" at position 3 - dog: the parent of this word is "chased" at position 4 - chased: this is the root node, therefore its head is 0 - the: the parent of this word is "cat" at position 6 - cat: the parent of this word is "chased" at position 4 - .: the parent of this word is "chased" at position 4 3. Dependency Relations: - root(ROOT, chased) - det(dog, The) - amod(dog, big) - nsubj(chased, dog) - det(cat, the) - obj(chased, cat) Combining the above annotations, the final output in UD format is: Position Tokenization UPOS Head Deprel 1 The DET 3 det 2 big ADJ 3 amod 3 dog NOUN 4 nsubj 4 chased VERB 0 ROOT 5 the DET 6 det 6 cat NOUN 4 obj 7 . PUNCT 4 punct

Generate UD annotations for the following text: 📸Рынкавы пляц паваеннага Віцебску

Position Tokenization UPOS Head Deprel 1 📸Рынкавы ADJ 2 amod 2 пляц NOUN 0 root 3 паваеннага ADJ 4 amod 4 Віцебску PROPN 2 nmod

As a helpful and smart assistant, your task is to parse a given text in any language to Universal Dependency (UD) format including POS tags and dependency relations (HEAD and DEPREL). Key Components of UD Annotation: 1. Tokens: The fundamental units within UD are tokens. These can be individual words, punctuation marks, or even parts of multi-word expressions. Each token has several associated attributes. 2. UPOS Tags: The UPOS field in the CoNLL-U format represents the universal part-of-speech tag assigned to each word. This tag is part of a universal POS tag set designed to be applicable across different languages. The UPOS tags include categories such as NOUN, VERB, ADJ (adjective), ADV (adverb), PRON (pronoun), DET (determiner), and more. 3. Dependency Relations: Dependency relations are the core of the syntactic representation. They form a tree structure over the tokens in a sentence. Here's how they work: - HEAD: This field indicates the head of the current word. The head is the word that the current word is connected to in the dependency parse tree. The value is an integer that corresponds to the ID of the head word within the same sentence. A value of zero (0) indicates that the word is the root of the sentence. - DEPREL: The DEPREL field specifies the type of dependency relation between the current word and its head (as specified in the HEAD field). The value is a universal dependency relation or a language-specific subtype of such a relation. Note: Blank lines are used to mark the boundaries between sentences. Example: Let's analyze this sentence with its UD annotation: "The big dog chased the cat." 1. Tokenization: - The - big - dog - chased - the - cat - . 2. UPOS Tags: - The: DET - big: ADJ - dog: NOUN - chased: VERB - the: DET - cat: NOUN - .: PUNCT 3. Head node (parent): - The: the parent of this word is "dog" at position 3 - big: the parent of this word is "dog" at position 3 - dog: the parent of this word is "chased" at position 4 - chased: this is the root node, therefore its head is 0 - the: the parent of this word is "cat" at position 6 - cat: the parent of this word is "chased" at position 4 - .: the parent of this word is "chased" at position 4 3. Dependency Relations: - root(ROOT, chased) - det(dog, The) - amod(dog, big) - nsubj(chased, dog) - det(cat, the) - obj(chased, cat) Combining the above annotations, the final output in UD format is: Position Tokenization UPOS Head Deprel 1 The DET 3 det 2 big ADJ 3 amod 3 dog NOUN 4 nsubj 4 chased VERB 0 ROOT 5 the DET 6 det 6 cat NOUN 4 obj 7 . PUNCT 4 punct

Generate UD annotations for the following text: Меская ратуша (у асяродку пляцу) у стылі віленскага барока пабудаваная ў 1775 годзе.

Position Tokenization UPOS Head Deprel 1 Меская ADJ 2 amod 2 ратуша NOUN 12 nsubj 3 ( PUNCT 5 punct 4 у ADP 5 case 5 асяродку NOUN 2 parataxis 6 пляцу NOUN 5 nmod 7 ) PUNCT 5 punct 8 у ADP 9 case 9 стылі NOUN 12 obl 10 віленскага ADJ 11 amod 11 барока NOUN 9 nmod 12 пабудаваная VERB 0 root 13 ў ADP 15 case 14 1775 ADJ 15 amod 15 годзе NOUN 12 obl 16 . PUNCT 12 punct

As a helpful and smart assistant, your task is to parse a given text in any language to Universal Dependency (UD) format including POS tags and dependency relations (HEAD and DEPREL). Key Components of UD Annotation: 1. Tokens: The fundamental units within UD are tokens. These can be individual words, punctuation marks, or even parts of multi-word expressions. Each token has several associated attributes. 2. UPOS Tags: The UPOS field in the CoNLL-U format represents the universal part-of-speech tag assigned to each word. This tag is part of a universal POS tag set designed to be applicable across different languages. The UPOS tags include categories such as NOUN, VERB, ADJ (adjective), ADV (adverb), PRON (pronoun), DET (determiner), and more. 3. Dependency Relations: Dependency relations are the core of the syntactic representation. They form a tree structure over the tokens in a sentence. Here's how they work: - HEAD: This field indicates the head of the current word. The head is the word that the current word is connected to in the dependency parse tree. The value is an integer that corresponds to the ID of the head word within the same sentence. A value of zero (0) indicates that the word is the root of the sentence. - DEPREL: The DEPREL field specifies the type of dependency relation between the current word and its head (as specified in the HEAD field). The value is a universal dependency relation or a language-specific subtype of such a relation. Note: Blank lines are used to mark the boundaries between sentences. Example: Let's analyze this sentence with its UD annotation: "The big dog chased the cat." 1. Tokenization: - The - big - dog - chased - the - cat - . 2. UPOS Tags: - The: DET - big: ADJ - dog: NOUN - chased: VERB - the: DET - cat: NOUN - .: PUNCT 3. Head node (parent): - The: the parent of this word is "dog" at position 3 - big: the parent of this word is "dog" at position 3 - dog: the parent of this word is "chased" at position 4 - chased: this is the root node, therefore its head is 0 - the: the parent of this word is "cat" at position 6 - cat: the parent of this word is "chased" at position 4 - .: the parent of this word is "chased" at position 4 3. Dependency Relations: - root(ROOT, chased) - det(dog, The) - amod(dog, big) - nsubj(chased, dog) - det(cat, the) - obj(chased, cat) Combining the above annotations, the final output in UD format is: Position Tokenization UPOS Head Deprel 1 The DET 3 det 2 big ADJ 3 amod 3 dog NOUN 4 nsubj 4 chased VERB 0 ROOT 5 the DET 6 det 6 cat NOUN 4 obj 7 . PUNCT 4 punct

Generate UD annotations for the following text: Нізкі рынак, ён жа плошча 8-га сакавіка.

Position Tokenization UPOS Head Deprel 1 Нізкі ADJ 2 amod 2 рынак NOUN 0 root 3 , PUNCT 6 punct 4 ён PRON 6 nsubj 5 жа PART 6 advmod 6 плошча NOUN 2 conj 7 8-га ADJ 8 amod 8 сакавіка NOUN 6 nmod 9 . PUNCT 2 punct

As a helpful and smart assistant, your task is to parse a given text in any language to Universal Dependency (UD) format including POS tags and dependency relations (HEAD and DEPREL). Key Components of UD Annotation: 1. Tokens: The fundamental units within UD are tokens. These can be individual words, punctuation marks, or even parts of multi-word expressions. Each token has several associated attributes. 2. UPOS Tags: The UPOS field in the CoNLL-U format represents the universal part-of-speech tag assigned to each word. This tag is part of a universal POS tag set designed to be applicable across different languages. The UPOS tags include categories such as NOUN, VERB, ADJ (adjective), ADV (adverb), PRON (pronoun), DET (determiner), and more. 3. Dependency Relations: Dependency relations are the core of the syntactic representation. They form a tree structure over the tokens in a sentence. Here's how they work: - HEAD: This field indicates the head of the current word. The head is the word that the current word is connected to in the dependency parse tree. The value is an integer that corresponds to the ID of the head word within the same sentence. A value of zero (0) indicates that the word is the root of the sentence. - DEPREL: The DEPREL field specifies the type of dependency relation between the current word and its head (as specified in the HEAD field). The value is a universal dependency relation or a language-specific subtype of such a relation. Note: Blank lines are used to mark the boundaries between sentences. Example: Let's analyze this sentence with its UD annotation: "The big dog chased the cat." 1. Tokenization: - The - big - dog - chased - the - cat - . 2. UPOS Tags: - The: DET - big: ADJ - dog: NOUN - chased: VERB - the: DET - cat: NOUN - .: PUNCT 3. Head node (parent): - The: the parent of this word is "dog" at position 3 - big: the parent of this word is "dog" at position 3 - dog: the parent of this word is "chased" at position 4 - chased: this is the root node, therefore its head is 0 - the: the parent of this word is "cat" at position 6 - cat: the parent of this word is "chased" at position 4 - .: the parent of this word is "chased" at position 4 3. Dependency Relations: - root(ROOT, chased) - det(dog, The) - amod(dog, big) - nsubj(chased, dog) - det(cat, the) - obj(chased, cat) Combining the above annotations, the final output in UD format is: Position Tokenization UPOS Head Deprel 1 The DET 3 det 2 big ADJ 3 amod 3 dog NOUN 4 nsubj 4 chased VERB 0 ROOT 5 the DET 6 det 6 cat NOUN 4 obj 7 . PUNCT 4 punct

Generate UD annotations for the following text: У 60-е годы

Position Tokenization UPOS Head Deprel 1 У ADP 3 case 2 60-е ADJ 3 amod 3 годы NOUN 0 root

As a helpful and smart assistant, your task is to parse a given text in any language to Universal Dependency (UD) format including POS tags and dependency relations (HEAD and DEPREL). Key Components of UD Annotation: 1. Tokens: The fundamental units within UD are tokens. These can be individual words, punctuation marks, or even parts of multi-word expressions. Each token has several associated attributes. 2. UPOS Tags: The UPOS field in the CoNLL-U format represents the universal part-of-speech tag assigned to each word. This tag is part of a universal POS tag set designed to be applicable across different languages. The UPOS tags include categories such as NOUN, VERB, ADJ (adjective), ADV (adverb), PRON (pronoun), DET (determiner), and more. 3. Dependency Relations: Dependency relations are the core of the syntactic representation. They form a tree structure over the tokens in a sentence. Here's how they work: - HEAD: This field indicates the head of the current word. The head is the word that the current word is connected to in the dependency parse tree. The value is an integer that corresponds to the ID of the head word within the same sentence. A value of zero (0) indicates that the word is the root of the sentence. - DEPREL: The DEPREL field specifies the type of dependency relation between the current word and its head (as specified in the HEAD field). The value is a universal dependency relation or a language-specific subtype of such a relation. Note: Blank lines are used to mark the boundaries between sentences. Example: Let's analyze this sentence with its UD annotation: "The big dog chased the cat." 1. Tokenization: - The - big - dog - chased - the - cat - . 2. UPOS Tags: - The: DET - big: ADJ - dog: NOUN - chased: VERB - the: DET - cat: NOUN - .: PUNCT 3. Head node (parent): - The: the parent of this word is "dog" at position 3 - big: the parent of this word is "dog" at position 3 - dog: the parent of this word is "chased" at position 4 - chased: this is the root node, therefore its head is 0 - the: the parent of this word is "cat" at position 6 - cat: the parent of this word is "chased" at position 4 - .: the parent of this word is "chased" at position 4 3. Dependency Relations: - root(ROOT, chased) - det(dog, The) - amod(dog, big) - nsubj(chased, dog) - det(cat, the) - obj(chased, cat) Combining the above annotations, the final output in UD format is: Position Tokenization UPOS Head Deprel 1 The DET 3 det 2 big ADJ 3 amod 3 dog NOUN 4 nsubj 4 chased VERB 0 ROOT 5 the DET 6 det 6 cat NOUN 4 obj 7 . PUNCT 4 punct

Generate UD annotations for the following text: 📷Дом дзе нарадзіўся Маскім Багдановіч.

Position Tokenization UPOS Head Deprel 1 📷Дом NOUN 3 obj 2 дзе ADV 3 advmod 3 нарадзіўся VERB 0 root 4 Маскім PROPN 3 nsubj 5 Багдановіч PROPN 4 flat:name 6 . PUNCT 3 punct

As a helpful and smart assistant, your task is to parse a given text in any language to Universal Dependency (UD) format including POS tags and dependency relations (HEAD and DEPREL). Key Components of UD Annotation: 1. Tokens: The fundamental units within UD are tokens. These can be individual words, punctuation marks, or even parts of multi-word expressions. Each token has several associated attributes. 2. UPOS Tags: The UPOS field in the CoNLL-U format represents the universal part-of-speech tag assigned to each word. This tag is part of a universal POS tag set designed to be applicable across different languages. The UPOS tags include categories such as NOUN, VERB, ADJ (adjective), ADV (adverb), PRON (pronoun), DET (determiner), and more. 3. Dependency Relations: Dependency relations are the core of the syntactic representation. They form a tree structure over the tokens in a sentence. Here's how they work: - HEAD: This field indicates the head of the current word. The head is the word that the current word is connected to in the dependency parse tree. The value is an integer that corresponds to the ID of the head word within the same sentence. A value of zero (0) indicates that the word is the root of the sentence. - DEPREL: The DEPREL field specifies the type of dependency relation between the current word and its head (as specified in the HEAD field). The value is a universal dependency relation or a language-specific subtype of such a relation. Note: Blank lines are used to mark the boundaries between sentences. Example: Let's analyze this sentence with its UD annotation: "The big dog chased the cat." 1. Tokenization: - The - big - dog - chased - the - cat - . 2. UPOS Tags: - The: DET - big: ADJ - dog: NOUN - chased: VERB - the: DET - cat: NOUN - .: PUNCT 3. Head node (parent): - The: the parent of this word is "dog" at position 3 - big: the parent of this word is "dog" at position 3 - dog: the parent of this word is "chased" at position 4 - chased: this is the root node, therefore its head is 0 - the: the parent of this word is "cat" at position 6 - cat: the parent of this word is "chased" at position 4 - .: the parent of this word is "chased" at position 4 3. Dependency Relations: - root(ROOT, chased) - det(dog, The) - amod(dog, big) - nsubj(chased, dog) - det(cat, the) - obj(chased, cat) Combining the above annotations, the final output in UD format is: Position Tokenization UPOS Head Deprel 1 The DET 3 det 2 big ADJ 3 amod 3 dog NOUN 4 nsubj 4 chased VERB 0 ROOT 5 the DET 6 det 6 cat NOUN 4 obj 7 . PUNCT 4 punct

Generate UD annotations for the following text: Дом згарэў у вайну, канчаткова зруйнаваны ў 1960-е.

Position Tokenization UPOS Head Deprel 1 Дом NOUN 2 obl 2 згарэў VERB 0 root 3 у ADP 4 case 4 вайну NOUN 2 obl 5 , PUNCT 7 punct 6 канчаткова ADV 7 advmod 7 зруйнаваны VERB 2 conj 8 ў ADP 9 case 9 1960-е ADJ 7 obl 10 . PUNCT 2 punct

As a helpful and smart assistant, your task is to parse a given text in any language to Universal Dependency (UD) format including POS tags and dependency relations (HEAD and DEPREL). Key Components of UD Annotation: 1. Tokens: The fundamental units within UD are tokens. These can be individual words, punctuation marks, or even parts of multi-word expressions. Each token has several associated attributes. 2. UPOS Tags: The UPOS field in the CoNLL-U format represents the universal part-of-speech tag assigned to each word. This tag is part of a universal POS tag set designed to be applicable across different languages. The UPOS tags include categories such as NOUN, VERB, ADJ (adjective), ADV (adverb), PRON (pronoun), DET (determiner), and more. 3. Dependency Relations: Dependency relations are the core of the syntactic representation. They form a tree structure over the tokens in a sentence. Here's how they work: - HEAD: This field indicates the head of the current word. The head is the word that the current word is connected to in the dependency parse tree. The value is an integer that corresponds to the ID of the head word within the same sentence. A value of zero (0) indicates that the word is the root of the sentence. - DEPREL: The DEPREL field specifies the type of dependency relation between the current word and its head (as specified in the HEAD field). The value is a universal dependency relation or a language-specific subtype of such a relation. Note: Blank lines are used to mark the boundaries between sentences. Example: Let's analyze this sentence with its UD annotation: "The big dog chased the cat." 1. Tokenization: - The - big - dog - chased - the - cat - . 2. UPOS Tags: - The: DET - big: ADJ - dog: NOUN - chased: VERB - the: DET - cat: NOUN - .: PUNCT 3. Head node (parent): - The: the parent of this word is "dog" at position 3 - big: the parent of this word is "dog" at position 3 - dog: the parent of this word is "chased" at position 4 - chased: this is the root node, therefore its head is 0 - the: the parent of this word is "cat" at position 6 - cat: the parent of this word is "chased" at position 4 - .: the parent of this word is "chased" at position 4 3. Dependency Relations: - root(ROOT, chased) - det(dog, The) - amod(dog, big) - nsubj(chased, dog) - det(cat, the) - obj(chased, cat) Combining the above annotations, the final output in UD format is: Position Tokenization UPOS Head Deprel 1 The DET 3 det 2 big ADJ 3 amod 3 dog NOUN 4 nsubj 4 chased VERB 0 ROOT 5 the DET 6 det 6 cat NOUN 4 obj 7 . PUNCT 4 punct

Generate UD annotations for the following text: Цяпер там пастаўлены памятны знак.

Position Tokenization UPOS Head Deprel 1 Цяпер ADV 3 advmod 2 там ADV 3 advmod 3 пастаўлены VERB 0 root 4 памятны ADJ 5 amod 5 знак NOUN 3 nsubj:pass 6 . PUNCT 3 punct

As a helpful and smart assistant, your task is to parse a given text in any language to Universal Dependency (UD) format including POS tags and dependency relations (HEAD and DEPREL). Key Components of UD Annotation: 1. Tokens: The fundamental units within UD are tokens. These can be individual words, punctuation marks, or even parts of multi-word expressions. Each token has several associated attributes. 2. UPOS Tags: The UPOS field in the CoNLL-U format represents the universal part-of-speech tag assigned to each word. This tag is part of a universal POS tag set designed to be applicable across different languages. The UPOS tags include categories such as NOUN, VERB, ADJ (adjective), ADV (adverb), PRON (pronoun), DET (determiner), and more. 3. Dependency Relations: Dependency relations are the core of the syntactic representation. They form a tree structure over the tokens in a sentence. Here's how they work: - HEAD: This field indicates the head of the current word. The head is the word that the current word is connected to in the dependency parse tree. The value is an integer that corresponds to the ID of the head word within the same sentence. A value of zero (0) indicates that the word is the root of the sentence. - DEPREL: The DEPREL field specifies the type of dependency relation between the current word and its head (as specified in the HEAD field). The value is a universal dependency relation or a language-specific subtype of such a relation. Note: Blank lines are used to mark the boundaries between sentences. Example: Let's analyze this sentence with its UD annotation: "The big dog chased the cat." 1. Tokenization: - The - big - dog - chased - the - cat - . 2. UPOS Tags: - The: DET - big: ADJ - dog: NOUN - chased: VERB - the: DET - cat: NOUN - .: PUNCT 3. Head node (parent): - The: the parent of this word is "dog" at position 3 - big: the parent of this word is "dog" at position 3 - dog: the parent of this word is "chased" at position 4 - chased: this is the root node, therefore its head is 0 - the: the parent of this word is "cat" at position 6 - cat: the parent of this word is "chased" at position 4 - .: the parent of this word is "chased" at position 4 3. Dependency Relations: - root(ROOT, chased) - det(dog, The) - amod(dog, big) - nsubj(chased, dog) - det(cat, the) - obj(chased, cat) Combining the above annotations, the final output in UD format is: Position Tokenization UPOS Head Deprel 1 The DET 3 det 2 big ADJ 3 amod 3 dog NOUN 4 nsubj 4 chased VERB 0 ROOT 5 the DET 6 det 6 cat NOUN 4 obj 7 . PUNCT 4 punct

Generate UD annotations for the following text: 🏠Дом-музэй І-га зьезду РСДРП у 1930-я.

Position Tokenization UPOS Head Deprel 1 🏠Дом-музэй NOUN 6 nsubj 2 І-га ADJ 3 amod 3 зьезду NOUN 1 nmod 4 РСДРП PROPN 3 nmod 5 у ADP 6 case 6 1930-я ADJ 0 root 7 . PUNCT 6 punct

As a helpful and smart assistant, your task is to parse a given text in any language to Universal Dependency (UD) format including POS tags and dependency relations (HEAD and DEPREL). Key Components of UD Annotation: 1. Tokens: The fundamental units within UD are tokens. These can be individual words, punctuation marks, or even parts of multi-word expressions. Each token has several associated attributes. 2. UPOS Tags: The UPOS field in the CoNLL-U format represents the universal part-of-speech tag assigned to each word. This tag is part of a universal POS tag set designed to be applicable across different languages. The UPOS tags include categories such as NOUN, VERB, ADJ (adjective), ADV (adverb), PRON (pronoun), DET (determiner), and more. 3. Dependency Relations: Dependency relations are the core of the syntactic representation. They form a tree structure over the tokens in a sentence. Here's how they work: - HEAD: This field indicates the head of the current word. The head is the word that the current word is connected to in the dependency parse tree. The value is an integer that corresponds to the ID of the head word within the same sentence. A value of zero (0) indicates that the word is the root of the sentence. - DEPREL: The DEPREL field specifies the type of dependency relation between the current word and its head (as specified in the HEAD field). The value is a universal dependency relation or a language-specific subtype of such a relation. Note: Blank lines are used to mark the boundaries between sentences. Example: Let's analyze this sentence with its UD annotation: "The big dog chased the cat." 1. Tokenization: - The - big - dog - chased - the - cat - . 2. UPOS Tags: - The: DET - big: ADJ - dog: NOUN - chased: VERB - the: DET - cat: NOUN - .: PUNCT 3. Head node (parent): - The: the parent of this word is "dog" at position 3 - big: the parent of this word is "dog" at position 3 - dog: the parent of this word is "chased" at position 4 - chased: this is the root node, therefore its head is 0 - the: the parent of this word is "cat" at position 6 - cat: the parent of this word is "chased" at position 4 - .: the parent of this word is "chased" at position 4 3. Dependency Relations: - root(ROOT, chased) - det(dog, The) - amod(dog, big) - nsubj(chased, dog) - det(cat, the) - obj(chased, cat) Combining the above annotations, the final output in UD format is: Position Tokenization UPOS Head Deprel 1 The DET 3 det 2 big ADJ 3 amod 3 dog NOUN 4 nsubj 4 chased VERB 0 ROOT 5 the DET 6 det 6 cat NOUN 4 obj 7 . PUNCT 4 punct

Generate UD annotations for the following text: У вайну будынак згарэў разам з экспазыцыяй і быў адноўлены ў 1948 годзе.

Position Tokenization UPOS Head Deprel 1 У ADP 2 case 2 вайну NOUN 4 obl 3 будынак NOUN 4 nsubj 4 згарэў VERB 0 root 5 разам ADV 4 advmod 6 з ADP 7 case 7 экспазыцыяй NOUN 4 obl 8 і CCONJ 10 cc 9 быў AUX 10 aux:pass 10 адноўлены VERB 4 conj 11 ў ADP 13 case 12 1948 ADJ 13 amod 13 годзе NOUN 10 obl 14 . PUNCT 4 punct

As a helpful and smart assistant, your task is to parse a given text in any language to Universal Dependency (UD) format including POS tags and dependency relations (HEAD and DEPREL). Key Components of UD Annotation: 1. Tokens: The fundamental units within UD are tokens. These can be individual words, punctuation marks, or even parts of multi-word expressions. Each token has several associated attributes. 2. UPOS Tags: The UPOS field in the CoNLL-U format represents the universal part-of-speech tag assigned to each word. This tag is part of a universal POS tag set designed to be applicable across different languages. The UPOS tags include categories such as NOUN, VERB, ADJ (adjective), ADV (adverb), PRON (pronoun), DET (determiner), and more. 3. Dependency Relations: Dependency relations are the core of the syntactic representation. They form a tree structure over the tokens in a sentence. Here's how they work: - HEAD: This field indicates the head of the current word. The head is the word that the current word is connected to in the dependency parse tree. The value is an integer that corresponds to the ID of the head word within the same sentence. A value of zero (0) indicates that the word is the root of the sentence. - DEPREL: The DEPREL field specifies the type of dependency relation between the current word and its head (as specified in the HEAD field). The value is a universal dependency relation or a language-specific subtype of such a relation. Note: Blank lines are used to mark the boundaries between sentences. Example: Let's analyze this sentence with its UD annotation: "The big dog chased the cat." 1. Tokenization: - The - big - dog - chased - the - cat - . 2. UPOS Tags: - The: DET - big: ADJ - dog: NOUN - chased: VERB - the: DET - cat: NOUN - .: PUNCT 3. Head node (parent): - The: the parent of this word is "dog" at position 3 - big: the parent of this word is "dog" at position 3 - dog: the parent of this word is "chased" at position 4 - chased: this is the root node, therefore its head is 0 - the: the parent of this word is "cat" at position 6 - cat: the parent of this word is "chased" at position 4 - .: the parent of this word is "chased" at position 4 3. Dependency Relations: - root(ROOT, chased) - det(dog, The) - amod(dog, big) - nsubj(chased, dog) - det(cat, the) - obj(chased, cat) Combining the above annotations, the final output in UD format is: Position Tokenization UPOS Head Deprel 1 The DET 3 det 2 big ADJ 3 amod 3 dog NOUN 4 nsubj 4 chased VERB 0 ROOT 5 the DET 6 det 6 cat NOUN 4 obj 7 . PUNCT 4 punct

Generate UD annotations for the following text: У 1953 пры Рэканструкцыі праспэкту Леніна перанесены ад Круглай плошчы (цяпер плошча Перамогі) бліжэй да Сьвіслачы, дзе й стаіць сёньня.

Position Tokenization UPOS Head Deprel 1 У ADP 2 case 2 1953 ADJ 7 obl 3 пры ADP 4 case 4 Рэканструкцыі NOUN 2 obl 5 праспэкту NOUN 4 nmod 6 Леніна PROPN 5 nmod 7 перанесены VERB 0 root 8 ад ADP 10 case 9 Круглай ADJ 10 amod 10 плошчы NOUN 7 obl 11 ( PUNCT 13 punct 12 цяпер ADV 13 advmod 13 плошча NOUN 10 parataxis 14 Перамогі NOUN 13 nmod 15 ) PUNCT 13 punct 16 бліжэй ADJ 7 obl 17 да ADP 18 case 18 Сьвіслачы PROPN 7 obl 19 , PUNCT 22 punct 20 дзе ADV 22 advmod 21 й CCONJ 22 cc 22 стаіць VERB 7 conj 23 сёньня ADV 22 advmod 24 . PUNCT 7 punct

As a helpful and smart assistant, your task is to parse a given text in any language to Universal Dependency (UD) format including POS tags and dependency relations (HEAD and DEPREL). Key Components of UD Annotation: 1. Tokens: The fundamental units within UD are tokens. These can be individual words, punctuation marks, or even parts of multi-word expressions. Each token has several associated attributes. 2. UPOS Tags: The UPOS field in the CoNLL-U format represents the universal part-of-speech tag assigned to each word. This tag is part of a universal POS tag set designed to be applicable across different languages. The UPOS tags include categories such as NOUN, VERB, ADJ (adjective), ADV (adverb), PRON (pronoun), DET (determiner), and more. 3. Dependency Relations: Dependency relations are the core of the syntactic representation. They form a tree structure over the tokens in a sentence. Here's how they work: - HEAD: This field indicates the head of the current word. The head is the word that the current word is connected to in the dependency parse tree. The value is an integer that corresponds to the ID of the head word within the same sentence. A value of zero (0) indicates that the word is the root of the sentence. - DEPREL: The DEPREL field specifies the type of dependency relation between the current word and its head (as specified in the HEAD field). The value is a universal dependency relation or a language-specific subtype of such a relation. Note: Blank lines are used to mark the boundaries between sentences. Example: Let's analyze this sentence with its UD annotation: "The big dog chased the cat." 1. Tokenization: - The - big - dog - chased - the - cat - . 2. UPOS Tags: - The: DET - big: ADJ - dog: NOUN - chased: VERB - the: DET - cat: NOUN - .: PUNCT 3. Head node (parent): - The: the parent of this word is "dog" at position 3 - big: the parent of this word is "dog" at position 3 - dog: the parent of this word is "chased" at position 4 - chased: this is the root node, therefore its head is 0 - the: the parent of this word is "cat" at position 6 - cat: the parent of this word is "chased" at position 4 - .: the parent of this word is "chased" at position 4 3. Dependency Relations: - root(ROOT, chased) - det(dog, The) - amod(dog, big) - nsubj(chased, dog) - det(cat, the) - obj(chased, cat) Combining the above annotations, the final output in UD format is: Position Tokenization UPOS Head Deprel 1 The DET 3 det 2 big ADJ 3 amod 3 dog NOUN 4 nsubj 4 chased VERB 0 ROOT 5 the DET 6 det 6 cat NOUN 4 obj 7 . PUNCT 4 punct

Generate UD annotations for the following text: Сучасны цэнтр Менску — гэта ўвесь Менск у 1797.

Position Tokenization UPOS Head Deprel 1 Сучасны ADJ 2 amod 2 цэнтр NOUN 9 nsubj 3 Менску PROPN 2 nmod 4 — PUNCT 7 punct 5 гэта PART 6 expl 6 ўвесь DET 7 det 7 Менск PROPN 2 appos 8 у ADP 9 case 9 1797 ADJ 0 root 10 . PUNCT 9 punct

As a helpful and smart assistant, your task is to parse a given text in any language to Universal Dependency (UD) format including POS tags and dependency relations (HEAD and DEPREL). Key Components of UD Annotation: 1. Tokens: The fundamental units within UD are tokens. These can be individual words, punctuation marks, or even parts of multi-word expressions. Each token has several associated attributes. 2. UPOS Tags: The UPOS field in the CoNLL-U format represents the universal part-of-speech tag assigned to each word. This tag is part of a universal POS tag set designed to be applicable across different languages. The UPOS tags include categories such as NOUN, VERB, ADJ (adjective), ADV (adverb), PRON (pronoun), DET (determiner), and more. 3. Dependency Relations: Dependency relations are the core of the syntactic representation. They form a tree structure over the tokens in a sentence. Here's how they work: - HEAD: This field indicates the head of the current word. The head is the word that the current word is connected to in the dependency parse tree. The value is an integer that corresponds to the ID of the head word within the same sentence. A value of zero (0) indicates that the word is the root of the sentence. - DEPREL: The DEPREL field specifies the type of dependency relation between the current word and its head (as specified in the HEAD field). The value is a universal dependency relation or a language-specific subtype of such a relation. Note: Blank lines are used to mark the boundaries between sentences. Example: Let's analyze this sentence with its UD annotation: "The big dog chased the cat." 1. Tokenization: - The - big - dog - chased - the - cat - . 2. UPOS Tags: - The: DET - big: ADJ - dog: NOUN - chased: VERB - the: DET - cat: NOUN - .: PUNCT 3. Head node (parent): - The: the parent of this word is "dog" at position 3 - big: the parent of this word is "dog" at position 3 - dog: the parent of this word is "chased" at position 4 - chased: this is the root node, therefore its head is 0 - the: the parent of this word is "cat" at position 6 - cat: the parent of this word is "chased" at position 4 - .: the parent of this word is "chased" at position 4 3. Dependency Relations: - root(ROOT, chased) - det(dog, The) - amod(dog, big) - nsubj(chased, dog) - det(cat, the) - obj(chased, cat) Combining the above annotations, the final output in UD format is: Position Tokenization UPOS Head Deprel 1 The DET 3 det 2 big ADJ 3 amod 3 dog NOUN 4 nsubj 4 chased VERB 0 ROOT 5 the DET 6 det 6 cat NOUN 4 obj 7 . PUNCT 4 punct

Generate UD annotations for the following text: Будаваньне гандлёвага дому «На Нямізе» ў пачатку 90-х.

Position Tokenization UPOS Head Deprel 1 Будаваньне NOUN 0 root 2 гандлёвага ADJ 3 amod 3 дому NOUN 1 nmod 4 « PUNCT 9 punct 5 На ADP 6 case 6 Нямізе PROPN 9 nmod 7 » PUNCT 6 punct 8 ў ADP 9 case 9 пачатку NOUN 3 nmod 10 90-х ADJ 9 nmod 11 . PUNCT 1 punct

As a helpful and smart assistant, your task is to parse a given text in any language to Universal Dependency (UD) format including POS tags and dependency relations (HEAD and DEPREL). Key Components of UD Annotation: 1. Tokens: The fundamental units within UD are tokens. These can be individual words, punctuation marks, or even parts of multi-word expressions. Each token has several associated attributes. 2. UPOS Tags: The UPOS field in the CoNLL-U format represents the universal part-of-speech tag assigned to each word. This tag is part of a universal POS tag set designed to be applicable across different languages. The UPOS tags include categories such as NOUN, VERB, ADJ (adjective), ADV (adverb), PRON (pronoun), DET (determiner), and more. 3. Dependency Relations: Dependency relations are the core of the syntactic representation. They form a tree structure over the tokens in a sentence. Here's how they work: - HEAD: This field indicates the head of the current word. The head is the word that the current word is connected to in the dependency parse tree. The value is an integer that corresponds to the ID of the head word within the same sentence. A value of zero (0) indicates that the word is the root of the sentence. - DEPREL: The DEPREL field specifies the type of dependency relation between the current word and its head (as specified in the HEAD field). The value is a universal dependency relation or a language-specific subtype of such a relation. Note: Blank lines are used to mark the boundaries between sentences. Example: Let's analyze this sentence with its UD annotation: "The big dog chased the cat." 1. Tokenization: - The - big - dog - chased - the - cat - . 2. UPOS Tags: - The: DET - big: ADJ - dog: NOUN - chased: VERB - the: DET - cat: NOUN - .: PUNCT 3. Head node (parent): - The: the parent of this word is "dog" at position 3 - big: the parent of this word is "dog" at position 3 - dog: the parent of this word is "chased" at position 4 - chased: this is the root node, therefore its head is 0 - the: the parent of this word is "cat" at position 6 - cat: the parent of this word is "chased" at position 4 - .: the parent of this word is "chased" at position 4 3. Dependency Relations: - root(ROOT, chased) - det(dog, The) - amod(dog, big) - nsubj(chased, dog) - det(cat, the) - obj(chased, cat) Combining the above annotations, the final output in UD format is: Position Tokenization UPOS Head Deprel 1 The DET 3 det 2 big ADJ 3 amod 3 dog NOUN 4 nsubj 4 chased VERB 0 ROOT 5 the DET 6 det 6 cat NOUN 4 obj 7 . PUNCT 4 punct

Generate UD annotations for the following text: Наагул, увесь працэс ад руйнаваньня гістарычнае мескае забудовы да сучаснага выгляду зацягнулася на 40 гадоў.

Position Tokenization UPOS Head Deprel 1 Наагул ADV 0 root 2 , PUNCT 13 punct 3 увесь DET 4 det 4 працэс NOUN 13 nsubj 5 ад ADP 6 case 6 руйнаваньня NOUN 4 nmod 7 гістарычнае ADJ 9 amod 8 мескае ADJ 9 amod 9 забудовы NOUN 6 nmod 10 да ADP 12 case 11 сучаснага ADJ 12 amod 12 выгляду NOUN 13 obl 13 зацягнулася VERB 1 conj 14 на ADP 16 case 15 40 NUM 16 nummod 16 гадоў NOUN 13 obl 17 . PUNCT 1 punct

As a helpful and smart assistant, your task is to parse a given text in any language to Universal Dependency (UD) format including POS tags and dependency relations (HEAD and DEPREL). Key Components of UD Annotation: 1. Tokens: The fundamental units within UD are tokens. These can be individual words, punctuation marks, or even parts of multi-word expressions. Each token has several associated attributes. 2. UPOS Tags: The UPOS field in the CoNLL-U format represents the universal part-of-speech tag assigned to each word. This tag is part of a universal POS tag set designed to be applicable across different languages. The UPOS tags include categories such as NOUN, VERB, ADJ (adjective), ADV (adverb), PRON (pronoun), DET (determiner), and more. 3. Dependency Relations: Dependency relations are the core of the syntactic representation. They form a tree structure over the tokens in a sentence. Here's how they work: - HEAD: This field indicates the head of the current word. The head is the word that the current word is connected to in the dependency parse tree. The value is an integer that corresponds to the ID of the head word within the same sentence. A value of zero (0) indicates that the word is the root of the sentence. - DEPREL: The DEPREL field specifies the type of dependency relation between the current word and its head (as specified in the HEAD field). The value is a universal dependency relation or a language-specific subtype of such a relation. Note: Blank lines are used to mark the boundaries between sentences. Example: Let's analyze this sentence with its UD annotation: "The big dog chased the cat." 1. Tokenization: - The - big - dog - chased - the - cat - . 2. UPOS Tags: - The: DET - big: ADJ - dog: NOUN - chased: VERB - the: DET - cat: NOUN - .: PUNCT 3. Head node (parent): - The: the parent of this word is "dog" at position 3 - big: the parent of this word is "dog" at position 3 - dog: the parent of this word is "chased" at position 4 - chased: this is the root node, therefore its head is 0 - the: the parent of this word is "cat" at position 6 - cat: the parent of this word is "chased" at position 4 - .: the parent of this word is "chased" at position 4 3. Dependency Relations: - root(ROOT, chased) - det(dog, The) - amod(dog, big) - nsubj(chased, dog) - det(cat, the) - obj(chased, cat) Combining the above annotations, the final output in UD format is: Position Tokenization UPOS Head Deprel 1 The DET 3 det 2 big ADJ 3 amod 3 dog NOUN 4 nsubj 4 chased VERB 0 ROOT 5 the DET 6 det 6 cat NOUN 4 obj 7 . PUNCT 4 punct

Generate UD annotations for the following text: Усю гісторыю можна прачытаць тут👉 <a_href="https://realt.onliner.by/2011/10/28/darriuss-5">https://realt.onliner.by/2011/10/28/darriuss-5</a>

Position Tokenization UPOS Head Deprel 1 Усю DET 2 det 2 гісторыю NOUN 4 obj 3 можна VERB 0 root 4 прачытаць VERB 3 csubj 5 тут👉 ADV 4 advmod 6 <a_href="https://realt.onliner.by/2011/10/28/darriuss-5"> SYM 7 dep 7 https://realt.onliner.by/2011/10/28/darriuss-5 X 5 appos 8 </a> SYM 7 dep

As a helpful and smart assistant, your task is to parse a given text in any language to Universal Dependency (UD) format including POS tags and dependency relations (HEAD and DEPREL). Key Components of UD Annotation: 1. Tokens: The fundamental units within UD are tokens. These can be individual words, punctuation marks, or even parts of multi-word expressions. Each token has several associated attributes. 2. UPOS Tags: The UPOS field in the CoNLL-U format represents the universal part-of-speech tag assigned to each word. This tag is part of a universal POS tag set designed to be applicable across different languages. The UPOS tags include categories such as NOUN, VERB, ADJ (adjective), ADV (adverb), PRON (pronoun), DET (determiner), and more. 3. Dependency Relations: Dependency relations are the core of the syntactic representation. They form a tree structure over the tokens in a sentence. Here's how they work: - HEAD: This field indicates the head of the current word. The head is the word that the current word is connected to in the dependency parse tree. The value is an integer that corresponds to the ID of the head word within the same sentence. A value of zero (0) indicates that the word is the root of the sentence. - DEPREL: The DEPREL field specifies the type of dependency relation between the current word and its head (as specified in the HEAD field). The value is a universal dependency relation or a language-specific subtype of such a relation. Note: Blank lines are used to mark the boundaries between sentences. Example: Let's analyze this sentence with its UD annotation: "The big dog chased the cat." 1. Tokenization: - The - big - dog - chased - the - cat - . 2. UPOS Tags: - The: DET - big: ADJ - dog: NOUN - chased: VERB - the: DET - cat: NOUN - .: PUNCT 3. Head node (parent): - The: the parent of this word is "dog" at position 3 - big: the parent of this word is "dog" at position 3 - dog: the parent of this word is "chased" at position 4 - chased: this is the root node, therefore its head is 0 - the: the parent of this word is "cat" at position 6 - cat: the parent of this word is "chased" at position 4 - .: the parent of this word is "chased" at position 4 3. Dependency Relations: - root(ROOT, chased) - det(dog, The) - amod(dog, big) - nsubj(chased, dog) - det(cat, the) - obj(chased, cat) Combining the above annotations, the final output in UD format is: Position Tokenization UPOS Head Deprel 1 The DET 3 det 2 big ADJ 3 amod 3 dog NOUN 4 nsubj 4 chased VERB 0 ROOT 5 the DET 6 det 6 cat NOUN 4 obj 7 . PUNCT 4 punct

Generate UD annotations for the following text: Палесьсе ў пачатку 20-га стагодзьдзя.

Position Tokenization UPOS Head Deprel 1 Палесьсе PROPN 0 root 2 ў ADP 3 case 3 пачатку NOUN 1 nmod 4 20-га ADJ 5 amod 5 стагодзьдзя NOUN 3 nmod 6 . PUNCT 1 punct

As a helpful and smart assistant, your task is to parse a given text in any language to Universal Dependency (UD) format including POS tags and dependency relations (HEAD and DEPREL). Key Components of UD Annotation: 1. Tokens: The fundamental units within UD are tokens. These can be individual words, punctuation marks, or even parts of multi-word expressions. Each token has several associated attributes. 2. UPOS Tags: The UPOS field in the CoNLL-U format represents the universal part-of-speech tag assigned to each word. This tag is part of a universal POS tag set designed to be applicable across different languages. The UPOS tags include categories such as NOUN, VERB, ADJ (adjective), ADV (adverb), PRON (pronoun), DET (determiner), and more. 3. Dependency Relations: Dependency relations are the core of the syntactic representation. They form a tree structure over the tokens in a sentence. Here's how they work: - HEAD: This field indicates the head of the current word. The head is the word that the current word is connected to in the dependency parse tree. The value is an integer that corresponds to the ID of the head word within the same sentence. A value of zero (0) indicates that the word is the root of the sentence. - DEPREL: The DEPREL field specifies the type of dependency relation between the current word and its head (as specified in the HEAD field). The value is a universal dependency relation or a language-specific subtype of such a relation. Note: Blank lines are used to mark the boundaries between sentences. Example: Let's analyze this sentence with its UD annotation: "The big dog chased the cat." 1. Tokenization: - The - big - dog - chased - the - cat - . 2. UPOS Tags: - The: DET - big: ADJ - dog: NOUN - chased: VERB - the: DET - cat: NOUN - .: PUNCT 3. Head node (parent): - The: the parent of this word is "dog" at position 3 - big: the parent of this word is "dog" at position 3 - dog: the parent of this word is "chased" at position 4 - chased: this is the root node, therefore its head is 0 - the: the parent of this word is "cat" at position 6 - cat: the parent of this word is "chased" at position 4 - .: the parent of this word is "chased" at position 4 3. Dependency Relations: - root(ROOT, chased) - det(dog, The) - amod(dog, big) - nsubj(chased, dog) - det(cat, the) - obj(chased, cat) Combining the above annotations, the final output in UD format is: Position Tokenization UPOS Head Deprel 1 The DET 3 det 2 big ADJ 3 amod 3 dog NOUN 4 nsubj 4 chased VERB 0 ROOT 5 the DET 6 det 6 cat NOUN 4 obj 7 . PUNCT 4 punct

Generate UD annotations for the following text: Фота размаляванае з дапамогай штучнага інтэлекту

Position Tokenization UPOS Head Deprel 1 Фота NOUN 2 nsubj 2 размаляванае VERB 0 root 3 з ADP 4 case 4 дапамогай NOUN 2 obl 5 штучнага ADJ 6 amod 6 інтэлекту NOUN 4 nmod

As a helpful and smart assistant, your task is to parse a given text in any language to Universal Dependency (UD) format including POS tags and dependency relations (HEAD and DEPREL). Key Components of UD Annotation: 1. Tokens: The fundamental units within UD are tokens. These can be individual words, punctuation marks, or even parts of multi-word expressions. Each token has several associated attributes. 2. UPOS Tags: The UPOS field in the CoNLL-U format represents the universal part-of-speech tag assigned to each word. This tag is part of a universal POS tag set designed to be applicable across different languages. The UPOS tags include categories such as NOUN, VERB, ADJ (adjective), ADV (adverb), PRON (pronoun), DET (determiner), and more. 3. Dependency Relations: Dependency relations are the core of the syntactic representation. They form a tree structure over the tokens in a sentence. Here's how they work: - HEAD: This field indicates the head of the current word. The head is the word that the current word is connected to in the dependency parse tree. The value is an integer that corresponds to the ID of the head word within the same sentence. A value of zero (0) indicates that the word is the root of the sentence. - DEPREL: The DEPREL field specifies the type of dependency relation between the current word and its head (as specified in the HEAD field). The value is a universal dependency relation or a language-specific subtype of such a relation. Note: Blank lines are used to mark the boundaries between sentences. Example: Let's analyze this sentence with its UD annotation: "The big dog chased the cat." 1. Tokenization: - The - big - dog - chased - the - cat - . 2. UPOS Tags: - The: DET - big: ADJ - dog: NOUN - chased: VERB - the: DET - cat: NOUN - .: PUNCT 3. Head node (parent): - The: the parent of this word is "dog" at position 3 - big: the parent of this word is "dog" at position 3 - dog: the parent of this word is "chased" at position 4 - chased: this is the root node, therefore its head is 0 - the: the parent of this word is "cat" at position 6 - cat: the parent of this word is "chased" at position 4 - .: the parent of this word is "chased" at position 4 3. Dependency Relations: - root(ROOT, chased) - det(dog, The) - amod(dog, big) - nsubj(chased, dog) - det(cat, the) - obj(chased, cat) Combining the above annotations, the final output in UD format is: Position Tokenization UPOS Head Deprel 1 The DET 3 det 2 big ADJ 3 amod 3 dog NOUN 4 nsubj 4 chased VERB 0 ROOT 5 the DET 6 det 6 cat NOUN 4 obj 7 . PUNCT 4 punct

Generate UD annotations for the following text: 📆2 сакавіка 1994 году.

Position Tokenization UPOS Head Deprel 1 📆2 ADJ 2 amod 2 сакавіка NOUN 0 root 3 1994 ADJ 4 amod 4 году NOUN 2 nmod 5 . PUNCT 2 punct

As a helpful and smart assistant, your task is to parse a given text in any language to Universal Dependency (UD) format including POS tags and dependency relations (HEAD and DEPREL). Key Components of UD Annotation: 1. Tokens: The fundamental units within UD are tokens. These can be individual words, punctuation marks, or even parts of multi-word expressions. Each token has several associated attributes. 2. UPOS Tags: The UPOS field in the CoNLL-U format represents the universal part-of-speech tag assigned to each word. This tag is part of a universal POS tag set designed to be applicable across different languages. The UPOS tags include categories such as NOUN, VERB, ADJ (adjective), ADV (adverb), PRON (pronoun), DET (determiner), and more. 3. Dependency Relations: Dependency relations are the core of the syntactic representation. They form a tree structure over the tokens in a sentence. Here's how they work: - HEAD: This field indicates the head of the current word. The head is the word that the current word is connected to in the dependency parse tree. The value is an integer that corresponds to the ID of the head word within the same sentence. A value of zero (0) indicates that the word is the root of the sentence. - DEPREL: The DEPREL field specifies the type of dependency relation between the current word and its head (as specified in the HEAD field). The value is a universal dependency relation or a language-specific subtype of such a relation. Note: Blank lines are used to mark the boundaries between sentences. Example: Let's analyze this sentence with its UD annotation: "The big dog chased the cat." 1. Tokenization: - The - big - dog - chased - the - cat - . 2. UPOS Tags: - The: DET - big: ADJ - dog: NOUN - chased: VERB - the: DET - cat: NOUN - .: PUNCT 3. Head node (parent): - The: the parent of this word is "dog" at position 3 - big: the parent of this word is "dog" at position 3 - dog: the parent of this word is "chased" at position 4 - chased: this is the root node, therefore its head is 0 - the: the parent of this word is "cat" at position 6 - cat: the parent of this word is "chased" at position 4 - .: the parent of this word is "chased" at position 4 3. Dependency Relations: - root(ROOT, chased) - det(dog, The) - amod(dog, big) - nsubj(chased, dog) - det(cat, the) - obj(chased, cat) Combining the above annotations, the final output in UD format is: Position Tokenization UPOS Head Deprel 1 The DET 3 det 2 big ADJ 3 amod 3 dog NOUN 4 nsubj 4 chased VERB 0 ROOT 5 the DET 6 det 6 cat NOUN 4 obj 7 . PUNCT 4 punct

Generate UD annotations for the following text: Байкот парлямэнтскае апазыцыі БНФ з нагоды галасаваньня Савету Рэспублікі Беларусі за прэзыдэнтскую форму кіраваньня дзяржавай.

Position Tokenization UPOS Head Deprel 1 Байкот NOUN 0 root 2 парлямэнтскае ADJ 3 amod 3 апазыцыі NOUN 1 nmod 4 БНФ PROPN 3 appos 5 з ADP 6 case 6 нагоды NOUN 1 nmod 7 галасаваньня NOUN 6 nmod 8 Савету NOUN 7 nmod 9 Рэспублікі NOUN 8 nmod 10 Беларусі PROPN 9 nmod 11 за ADP 13 case 12 прэзыдэнтскую ADJ 13 amod 13 форму NOUN 6 nmod 14 кіраваньня NOUN 13 nmod 15 дзяржавай NOUN 14 nmod 16 . PUNCT 1 punct

As a helpful and smart assistant, your task is to parse a given text in any language to Universal Dependency (UD) format including POS tags and dependency relations (HEAD and DEPREL). Key Components of UD Annotation: 1. Tokens: The fundamental units within UD are tokens. These can be individual words, punctuation marks, or even parts of multi-word expressions. Each token has several associated attributes. 2. UPOS Tags: The UPOS field in the CoNLL-U format represents the universal part-of-speech tag assigned to each word. This tag is part of a universal POS tag set designed to be applicable across different languages. The UPOS tags include categories such as NOUN, VERB, ADJ (adjective), ADV (adverb), PRON (pronoun), DET (determiner), and more. 3. Dependency Relations: Dependency relations are the core of the syntactic representation. They form a tree structure over the tokens in a sentence. Here's how they work: - HEAD: This field indicates the head of the current word. The head is the word that the current word is connected to in the dependency parse tree. The value is an integer that corresponds to the ID of the head word within the same sentence. A value of zero (0) indicates that the word is the root of the sentence. - DEPREL: The DEPREL field specifies the type of dependency relation between the current word and its head (as specified in the HEAD field). The value is a universal dependency relation or a language-specific subtype of such a relation. Note: Blank lines are used to mark the boundaries between sentences. Example: Let's analyze this sentence with its UD annotation: "The big dog chased the cat." 1. Tokenization: - The - big - dog - chased - the - cat - . 2. UPOS Tags: - The: DET - big: ADJ - dog: NOUN - chased: VERB - the: DET - cat: NOUN - .: PUNCT 3. Head node (parent): - The: the parent of this word is "dog" at position 3 - big: the parent of this word is "dog" at position 3 - dog: the parent of this word is "chased" at position 4 - chased: this is the root node, therefore its head is 0 - the: the parent of this word is "cat" at position 6 - cat: the parent of this word is "chased" at position 4 - .: the parent of this word is "chased" at position 4 3. Dependency Relations: - root(ROOT, chased) - det(dog, The) - amod(dog, big) - nsubj(chased, dog) - det(cat, the) - obj(chased, cat) Combining the above annotations, the final output in UD format is: Position Tokenization UPOS Head Deprel 1 The DET 3 det 2 big ADJ 3 amod 3 dog NOUN 4 nsubj 4 chased VERB 0 ROOT 5 the DET 6 det 6 cat NOUN 4 obj 7 . PUNCT 4 punct

Generate UD annotations for the following text: Дэпутаты ад апазыцыі лічылі, што наступствам ад уводу пасады прэзыдэнта можа стаць усталяваньне дыктатуры.

Position Tokenization UPOS Head Deprel 1 Дэпутаты NOUN 4 nsubj 2 ад ADP 3 case 3 апазыцыі NOUN 1 nmod 4 лічылі VERB 0 root 5 , PUNCT 12 punct 6 што SCONJ 12 mark 7 наступствам NOUN 13 xcomp 8 ад ADP 9 case 9 уводу NOUN 7 nmod 10 пасады NOUN 9 nmod 11 прэзыдэнта NOUN 10 nmod 12 можа VERB 4 ccomp 13 стаць VERB 12 xcomp 14 усталяваньне NOUN 12 nsubj 15 дыктатуры NOUN 14 nmod 16 . PUNCT 4 punct

As a helpful and smart assistant, your task is to parse a given text in any language to Universal Dependency (UD) format including POS tags and dependency relations (HEAD and DEPREL). Key Components of UD Annotation: 1. Tokens: The fundamental units within UD are tokens. These can be individual words, punctuation marks, or even parts of multi-word expressions. Each token has several associated attributes. 2. UPOS Tags: The UPOS field in the CoNLL-U format represents the universal part-of-speech tag assigned to each word. This tag is part of a universal POS tag set designed to be applicable across different languages. The UPOS tags include categories such as NOUN, VERB, ADJ (adjective), ADV (adverb), PRON (pronoun), DET (determiner), and more. 3. Dependency Relations: Dependency relations are the core of the syntactic representation. They form a tree structure over the tokens in a sentence. Here's how they work: - HEAD: This field indicates the head of the current word. The head is the word that the current word is connected to in the dependency parse tree. The value is an integer that corresponds to the ID of the head word within the same sentence. A value of zero (0) indicates that the word is the root of the sentence. - DEPREL: The DEPREL field specifies the type of dependency relation between the current word and its head (as specified in the HEAD field). The value is a universal dependency relation or a language-specific subtype of such a relation. Note: Blank lines are used to mark the boundaries between sentences. Example: Let's analyze this sentence with its UD annotation: "The big dog chased the cat." 1. Tokenization: - The - big - dog - chased - the - cat - . 2. UPOS Tags: - The: DET - big: ADJ - dog: NOUN - chased: VERB - the: DET - cat: NOUN - .: PUNCT 3. Head node (parent): - The: the parent of this word is "dog" at position 3 - big: the parent of this word is "dog" at position 3 - dog: the parent of this word is "chased" at position 4 - chased: this is the root node, therefore its head is 0 - the: the parent of this word is "cat" at position 6 - cat: the parent of this word is "chased" at position 4 - .: the parent of this word is "chased" at position 4 3. Dependency Relations: - root(ROOT, chased) - det(dog, The) - amod(dog, big) - nsubj(chased, dog) - det(cat, the) - obj(chased, cat) Combining the above annotations, the final output in UD format is: Position Tokenization UPOS Head Deprel 1 The DET 3 det 2 big ADJ 3 amod 3 dog NOUN 4 nsubj 4 chased VERB 0 ROOT 5 the DET 6 det 6 cat NOUN 4 obj 7 . PUNCT 4 punct

Generate UD annotations for the following text: Мультфільм 1940 года "Івась" пра тое, як цяжка жылося беларусам пад панскай уладай.

Position Tokenization UPOS Head Deprel 1 Мультфільм NOUN 0 root 2 1940 ADJ 3 amod 3 года NOUN 1 nmod 4 " PUNCT 1 punct 5 Івась PROPN 1 appos 6 " PUNCT 5 punct 7 пра ADP 8 case 8 тое PRON 1 nmod 9 , PUNCT 12 punct 10 як ADV 11 advmod 11 цяжка ADJ 12 advcl 12 жылося VERB 8 acl 13 беларусам NOUN 12 iobj 14 пад ADP 16 case 15 панскай ADJ 16 amod 16 уладай NOUN 12 obl 17 . PUNCT 1 punct

As a helpful and smart assistant, your task is to parse a given text in any language to Universal Dependency (UD) format including POS tags and dependency relations (HEAD and DEPREL). Key Components of UD Annotation: 1. Tokens: The fundamental units within UD are tokens. These can be individual words, punctuation marks, or even parts of multi-word expressions. Each token has several associated attributes. 2. UPOS Tags: The UPOS field in the CoNLL-U format represents the universal part-of-speech tag assigned to each word. This tag is part of a universal POS tag set designed to be applicable across different languages. The UPOS tags include categories such as NOUN, VERB, ADJ (adjective), ADV (adverb), PRON (pronoun), DET (determiner), and more. 3. Dependency Relations: Dependency relations are the core of the syntactic representation. They form a tree structure over the tokens in a sentence. Here's how they work: - HEAD: This field indicates the head of the current word. The head is the word that the current word is connected to in the dependency parse tree. The value is an integer that corresponds to the ID of the head word within the same sentence. A value of zero (0) indicates that the word is the root of the sentence. - DEPREL: The DEPREL field specifies the type of dependency relation between the current word and its head (as specified in the HEAD field). The value is a universal dependency relation or a language-specific subtype of such a relation. Note: Blank lines are used to mark the boundaries between sentences. Example: Let's analyze this sentence with its UD annotation: "The big dog chased the cat." 1. Tokenization: - The - big - dog - chased - the - cat - . 2. UPOS Tags: - The: DET - big: ADJ - dog: NOUN - chased: VERB - the: DET - cat: NOUN - .: PUNCT 3. Head node (parent): - The: the parent of this word is "dog" at position 3 - big: the parent of this word is "dog" at position 3 - dog: the parent of this word is "chased" at position 4 - chased: this is the root node, therefore its head is 0 - the: the parent of this word is "cat" at position 6 - cat: the parent of this word is "chased" at position 4 - .: the parent of this word is "chased" at position 4 3. Dependency Relations: - root(ROOT, chased) - det(dog, The) - amod(dog, big) - nsubj(chased, dog) - det(cat, the) - obj(chased, cat) Combining the above annotations, the final output in UD format is: Position Tokenization UPOS Head Deprel 1 The DET 3 det 2 big ADJ 3 amod 3 dog NOUN 4 nsubj 4 chased VERB 0 ROOT 5 the DET 6 det 6 cat NOUN 4 obj 7 . PUNCT 4 punct

Generate UD annotations for the following text: Класічная прапаганда таго часу.

Position Tokenization UPOS Head Deprel 1 Класічная ADJ 2 amod 2 прапаганда NOUN 0 root 3 таго DET 4 det 4 часу NOUN 2 nmod 5 . PUNCT 2 punct

As a helpful and smart assistant, your task is to parse a given text in any language to Universal Dependency (UD) format including POS tags and dependency relations (HEAD and DEPREL). Key Components of UD Annotation: 1. Tokens: The fundamental units within UD are tokens. These can be individual words, punctuation marks, or even parts of multi-word expressions. Each token has several associated attributes. 2. UPOS Tags: The UPOS field in the CoNLL-U format represents the universal part-of-speech tag assigned to each word. This tag is part of a universal POS tag set designed to be applicable across different languages. The UPOS tags include categories such as NOUN, VERB, ADJ (adjective), ADV (adverb), PRON (pronoun), DET (determiner), and more. 3. Dependency Relations: Dependency relations are the core of the syntactic representation. They form a tree structure over the tokens in a sentence. Here's how they work: - HEAD: This field indicates the head of the current word. The head is the word that the current word is connected to in the dependency parse tree. The value is an integer that corresponds to the ID of the head word within the same sentence. A value of zero (0) indicates that the word is the root of the sentence. - DEPREL: The DEPREL field specifies the type of dependency relation between the current word and its head (as specified in the HEAD field). The value is a universal dependency relation or a language-specific subtype of such a relation. Note: Blank lines are used to mark the boundaries between sentences. Example: Let's analyze this sentence with its UD annotation: "The big dog chased the cat." 1. Tokenization: - The - big - dog - chased - the - cat - . 2. UPOS Tags: - The: DET - big: ADJ - dog: NOUN - chased: VERB - the: DET - cat: NOUN - .: PUNCT 3. Head node (parent): - The: the parent of this word is "dog" at position 3 - big: the parent of this word is "dog" at position 3 - dog: the parent of this word is "chased" at position 4 - chased: this is the root node, therefore its head is 0 - the: the parent of this word is "cat" at position 6 - cat: the parent of this word is "chased" at position 4 - .: the parent of this word is "chased" at position 4 3. Dependency Relations: - root(ROOT, chased) - det(dog, The) - amod(dog, big) - nsubj(chased, dog) - det(cat, the) - obj(chased, cat) Combining the above annotations, the final output in UD format is: Position Tokenization UPOS Head Deprel 1 The DET 3 det 2 big ADJ 3 amod 3 dog NOUN 4 nsubj 4 chased VERB 0 ROOT 5 the DET 6 det 6 cat NOUN 4 obj 7 . PUNCT 4 punct

Generate UD annotations for the following text: Найбольш цікава тое, што здымаў яго будучы класік савецкай мульціплікацыі Іван Іваноў-Вано.

Position Tokenization UPOS Head Deprel 1 Найбольш ADV 2 advmod 2 цікава ADJ 0 root 3 тое PRON 2 nsubj 4 , PUNCT 6 punct 5 што SCONJ 6 mark 6 здымаў VERB 3 acl 7 яго PRON 6 obj 8 будучы AUX 9 cop 9 класік NOUN 6 nsubj 10 савецкай ADJ 11 amod 11 мульціплікацыі NOUN 9 nmod 12 Іван PROPN 9 appos 13 Іваноў PROPN 12 flat:name 14 - PUNCT 15 punct 15 Вано PROPN 13 flat:name 16 . PUNCT 2 punct

As a helpful and smart assistant, your task is to parse a given text in any language to Universal Dependency (UD) format including POS tags and dependency relations (HEAD and DEPREL). Key Components of UD Annotation: 1. Tokens: The fundamental units within UD are tokens. These can be individual words, punctuation marks, or even parts of multi-word expressions. Each token has several associated attributes. 2. UPOS Tags: The UPOS field in the CoNLL-U format represents the universal part-of-speech tag assigned to each word. This tag is part of a universal POS tag set designed to be applicable across different languages. The UPOS tags include categories such as NOUN, VERB, ADJ (adjective), ADV (adverb), PRON (pronoun), DET (determiner), and more. 3. Dependency Relations: Dependency relations are the core of the syntactic representation. They form a tree structure over the tokens in a sentence. Here's how they work: - HEAD: This field indicates the head of the current word. The head is the word that the current word is connected to in the dependency parse tree. The value is an integer that corresponds to the ID of the head word within the same sentence. A value of zero (0) indicates that the word is the root of the sentence. - DEPREL: The DEPREL field specifies the type of dependency relation between the current word and its head (as specified in the HEAD field). The value is a universal dependency relation or a language-specific subtype of such a relation. Note: Blank lines are used to mark the boundaries between sentences. Example: Let's analyze this sentence with its UD annotation: "The big dog chased the cat." 1. Tokenization: - The - big - dog - chased - the - cat - . 2. UPOS Tags: - The: DET - big: ADJ - dog: NOUN - chased: VERB - the: DET - cat: NOUN - .: PUNCT 3. Head node (parent): - The: the parent of this word is "dog" at position 3 - big: the parent of this word is "dog" at position 3 - dog: the parent of this word is "chased" at position 4 - chased: this is the root node, therefore its head is 0 - the: the parent of this word is "cat" at position 6 - cat: the parent of this word is "chased" at position 4 - .: the parent of this word is "chased" at position 4 3. Dependency Relations: - root(ROOT, chased) - det(dog, The) - amod(dog, big) - nsubj(chased, dog) - det(cat, the) - obj(chased, cat) Combining the above annotations, the final output in UD format is: Position Tokenization UPOS Head Deprel 1 The DET 3 det 2 big ADJ 3 amod 3 dog NOUN 4 nsubj 4 chased VERB 0 ROOT 5 the DET 6 det 6 cat NOUN 4 obj 7 . PUNCT 4 punct

Generate UD annotations for the following text: Гэта той, што зняў "Майдадыра", "12 месяцаў", "Бураціна", "Канька-Гарбунка" і дзясяткі іншых класічных савецкіх мульцікаў.

Position Tokenization UPOS Head Deprel 1 Гэта PRON 2 nsubj 2 той DET 0 root 3 , PUNCT 5 punct 4 што PRON 5 nsubj 5 зняў VERB 2 acl:relcl 6 " PUNCT 7 punct 7 Майдадыра PROPN 5 obj 8 " PUNCT 7 punct 9 , PUNCT 12 punct 10 " PUNCT 12 punct 11 12 NUM 12 nummod 12 месяцаў NOUN 7 conj 13 " PUNCT 12 punct 14 , PUNCT 16 punct 15 " PUNCT 16 punct 16 Бураціна PROPN 7 conj 17 " PUNCT 16 punct 18 , PUNCT 20 punct 19 " PUNCT 20 punct 20 Канька PROPN 7 conj 21 - PUNCT 22 punct 22 Гарбунка PROPN 20 appos 23 " PUNCT 20 punct 24 і CCONJ 25 cc 25 дзясяткі NOUN 7 conj 26 іншых ADJ 29 amod 27 класічных ADJ 29 amod 28 савецкіх ADJ 29 amod 29 мульцікаў NOUN 25 nmod 30 . PUNCT 2 punct

As a helpful and smart assistant, your task is to parse a given text in any language to Universal Dependency (UD) format including POS tags and dependency relations (HEAD and DEPREL). Key Components of UD Annotation: 1. Tokens: The fundamental units within UD are tokens. These can be individual words, punctuation marks, or even parts of multi-word expressions. Each token has several associated attributes. 2. UPOS Tags: The UPOS field in the CoNLL-U format represents the universal part-of-speech tag assigned to each word. This tag is part of a universal POS tag set designed to be applicable across different languages. The UPOS tags include categories such as NOUN, VERB, ADJ (adjective), ADV (adverb), PRON (pronoun), DET (determiner), and more. 3. Dependency Relations: Dependency relations are the core of the syntactic representation. They form a tree structure over the tokens in a sentence. Here's how they work: - HEAD: This field indicates the head of the current word. The head is the word that the current word is connected to in the dependency parse tree. The value is an integer that corresponds to the ID of the head word within the same sentence. A value of zero (0) indicates that the word is the root of the sentence. - DEPREL: The DEPREL field specifies the type of dependency relation between the current word and its head (as specified in the HEAD field). The value is a universal dependency relation or a language-specific subtype of such a relation. Note: Blank lines are used to mark the boundaries between sentences. Example: Let's analyze this sentence with its UD annotation: "The big dog chased the cat." 1. Tokenization: - The - big - dog - chased - the - cat - . 2. UPOS Tags: - The: DET - big: ADJ - dog: NOUN - chased: VERB - the: DET - cat: NOUN - .: PUNCT 3. Head node (parent): - The: the parent of this word is "dog" at position 3 - big: the parent of this word is "dog" at position 3 - dog: the parent of this word is "chased" at position 4 - chased: this is the root node, therefore its head is 0 - the: the parent of this word is "cat" at position 6 - cat: the parent of this word is "chased" at position 4 - .: the parent of this word is "chased" at position 4 3. Dependency Relations: - root(ROOT, chased) - det(dog, The) - amod(dog, big) - nsubj(chased, dog) - det(cat, the) - obj(chased, cat) Combining the above annotations, the final output in UD format is: Position Tokenization UPOS Head Deprel 1 The DET 3 det 2 big ADJ 3 amod 3 dog NOUN 4 nsubj 4 chased VERB 0 ROOT 5 the DET 6 det 6 cat NOUN 4 obj 7 . PUNCT 4 punct

Generate UD annotations for the following text: Вано моцна крытыкаваў дыснэеўскую мульціплікацыю і менавіта яму шмат у чым належаць лаўры выпрацоўкі такой пазнавальнай і арыгінальнай савецкай стылістыкі мультфільмаў.

Position Tokenization UPOS Head Deprel 1 Вано PROPN 3 nsubj 2 моцна ADV 3 advmod 3 крытыкаваў VERB 0 root 4 дыснэеўскую ADJ 5 amod 5 мульціплікацыю NOUN 3 obj 6 і CCONJ 12 cc 7 менавіта PART 8 advmod 8 яму PRON 12 iobj 9 шмат ADV 12 advmod 10 у ADP 11 case 11 чым PRON 12 obl 12 належаць VERB 3 conj 13 лаўры NOUN 12 nsubj 14 выпрацоўкі NOUN 13 nmod 15 такой DET 21 det 16 пазнавальнай ADJ 21 amod 17 і CCONJ 20 cc 18 арыгінальнай ADJ 20 amod 19 савецкай ADJ 20 amod 20 стылістыкі NOUN 16 conj 21 мультфільмаў NOUN 13 nmod 22 . PUNCT 3 punct

As a helpful and smart assistant, your task is to parse a given text in any language to Universal Dependency (UD) format including POS tags and dependency relations (HEAD and DEPREL). Key Components of UD Annotation: 1. Tokens: The fundamental units within UD are tokens. These can be individual words, punctuation marks, or even parts of multi-word expressions. Each token has several associated attributes. 2. UPOS Tags: The UPOS field in the CoNLL-U format represents the universal part-of-speech tag assigned to each word. This tag is part of a universal POS tag set designed to be applicable across different languages. The UPOS tags include categories such as NOUN, VERB, ADJ (adjective), ADV (adverb), PRON (pronoun), DET (determiner), and more. 3. Dependency Relations: Dependency relations are the core of the syntactic representation. They form a tree structure over the tokens in a sentence. Here's how they work: - HEAD: This field indicates the head of the current word. The head is the word that the current word is connected to in the dependency parse tree. The value is an integer that corresponds to the ID of the head word within the same sentence. A value of zero (0) indicates that the word is the root of the sentence. - DEPREL: The DEPREL field specifies the type of dependency relation between the current word and its head (as specified in the HEAD field). The value is a universal dependency relation or a language-specific subtype of such a relation. Note: Blank lines are used to mark the boundaries between sentences. Example: Let's analyze this sentence with its UD annotation: "The big dog chased the cat." 1. Tokenization: - The - big - dog - chased - the - cat - . 2. UPOS Tags: - The: DET - big: ADJ - dog: NOUN - chased: VERB - the: DET - cat: NOUN - .: PUNCT 3. Head node (parent): - The: the parent of this word is "dog" at position 3 - big: the parent of this word is "dog" at position 3 - dog: the parent of this word is "chased" at position 4 - chased: this is the root node, therefore its head is 0 - the: the parent of this word is "cat" at position 6 - cat: the parent of this word is "chased" at position 4 - .: the parent of this word is "chased" at position 4 3. Dependency Relations: - root(ROOT, chased) - det(dog, The) - amod(dog, big) - nsubj(chased, dog) - det(cat, the) - obj(chased, cat) Combining the above annotations, the final output in UD format is: Position Tokenization UPOS Head Deprel 1 The DET 3 det 2 big ADJ 3 amod 3 dog NOUN 4 nsubj 4 chased VERB 0 ROOT 5 the DET 6 det 6 cat NOUN 4 obj 7 . PUNCT 4 punct

Generate UD annotations for the following text: Але да вайны нічога гэтага яшчэ не было і "Івась" па анімацыі вельмі нагадвае "Мікі-Маўса".

Position Tokenization UPOS Head Deprel 1 Але CCONJ 6 cc 2 да ADP 3 case 3 вайны NOUN 6 obl 4 нічога PRON 6 nsubj 5 гэтага PRON 4 appos 6 яшчэ ADV 0 root 7 не PART 8 advmod 8 было AUX 6 cop 9 і CCONJ 16 cc 10 " PUNCT 16 punct 11 Івась PROPN 16 nsubj 12 " PUNCT 11 punct 13 па ADP 14 case 14 анімацыі NOUN 16 obl 15 вельмі ADV 16 advmod 16 нагадвае VERB 8 conj 17 " PUNCT 18 punct 18 Мікі-Маўса PROPN 16 obj 19 " PUNCT 18 punct 20 . PUNCT 6 punct

As a helpful and smart assistant, your task is to parse a given text in any language to Universal Dependency (UD) format including POS tags and dependency relations (HEAD and DEPREL). Key Components of UD Annotation: 1. Tokens: The fundamental units within UD are tokens. These can be individual words, punctuation marks, or even parts of multi-word expressions. Each token has several associated attributes. 2. UPOS Tags: The UPOS field in the CoNLL-U format represents the universal part-of-speech tag assigned to each word. This tag is part of a universal POS tag set designed to be applicable across different languages. The UPOS tags include categories such as NOUN, VERB, ADJ (adjective), ADV (adverb), PRON (pronoun), DET (determiner), and more. 3. Dependency Relations: Dependency relations are the core of the syntactic representation. They form a tree structure over the tokens in a sentence. Here's how they work: - HEAD: This field indicates the head of the current word. The head is the word that the current word is connected to in the dependency parse tree. The value is an integer that corresponds to the ID of the head word within the same sentence. A value of zero (0) indicates that the word is the root of the sentence. - DEPREL: The DEPREL field specifies the type of dependency relation between the current word and its head (as specified in the HEAD field). The value is a universal dependency relation or a language-specific subtype of such a relation. Note: Blank lines are used to mark the boundaries between sentences. Example: Let's analyze this sentence with its UD annotation: "The big dog chased the cat." 1. Tokenization: - The - big - dog - chased - the - cat - . 2. UPOS Tags: - The: DET - big: ADJ - dog: NOUN - chased: VERB - the: DET - cat: NOUN - .: PUNCT 3. Head node (parent): - The: the parent of this word is "dog" at position 3 - big: the parent of this word is "dog" at position 3 - dog: the parent of this word is "chased" at position 4 - chased: this is the root node, therefore its head is 0 - the: the parent of this word is "cat" at position 6 - cat: the parent of this word is "chased" at position 4 - .: the parent of this word is "chased" at position 4 3. Dependency Relations: - root(ROOT, chased) - det(dog, The) - amod(dog, big) - nsubj(chased, dog) - det(cat, the) - obj(chased, cat) Combining the above annotations, the final output in UD format is: Position Tokenization UPOS Head Deprel 1 The DET 3 det 2 big ADJ 3 amod 3 dog NOUN 4 nsubj 4 chased VERB 0 ROOT 5 the DET 6 det 6 cat NOUN 4 obj 7 . PUNCT 4 punct

Generate UD annotations for the following text: Ну а сам мульцік гэта добрая ілюстрацыя таго, як уяўлялі Заходнюю Беларусь маскоўскія мастакі і чыноўнікі.

Position Tokenization UPOS Head Deprel 1 Ну PART 7 parataxis 2 а CCONJ 7 cc 3 сам ADJ 4 amod 4 мульцік NOUN 7 nsubj 5 гэта PART 7 expl 6 добрая ADJ 7 amod 7 ілюстрацыя NOUN 0 root 8 таго PRON 7 nmod 9 , PUNCT 11 punct 10 як ADV 11 advmod 11 уяўлялі VERB 8 acl 12 Заходнюю ADJ 13 amod 13 Беларусь PROPN 11 obj 14 маскоўскія ADJ 15 amod 15 мастакі NOUN 11 nsubj 16 і CCONJ 17 cc 17 чыноўнікі NOUN 15 conj 18 . PUNCT 7 punct

As a helpful and smart assistant, your task is to parse a given text in any language to Universal Dependency (UD) format including POS tags and dependency relations (HEAD and DEPREL). Key Components of UD Annotation: 1. Tokens: The fundamental units within UD are tokens. These can be individual words, punctuation marks, or even parts of multi-word expressions. Each token has several associated attributes. 2. UPOS Tags: The UPOS field in the CoNLL-U format represents the universal part-of-speech tag assigned to each word. This tag is part of a universal POS tag set designed to be applicable across different languages. The UPOS tags include categories such as NOUN, VERB, ADJ (adjective), ADV (adverb), PRON (pronoun), DET (determiner), and more. 3. Dependency Relations: Dependency relations are the core of the syntactic representation. They form a tree structure over the tokens in a sentence. Here's how they work: - HEAD: This field indicates the head of the current word. The head is the word that the current word is connected to in the dependency parse tree. The value is an integer that corresponds to the ID of the head word within the same sentence. A value of zero (0) indicates that the word is the root of the sentence. - DEPREL: The DEPREL field specifies the type of dependency relation between the current word and its head (as specified in the HEAD field). The value is a universal dependency relation or a language-specific subtype of such a relation. Note: Blank lines are used to mark the boundaries between sentences. Example: Let's analyze this sentence with its UD annotation: "The big dog chased the cat." 1. Tokenization: - The - big - dog - chased - the - cat - . 2. UPOS Tags: - The: DET - big: ADJ - dog: NOUN - chased: VERB - the: DET - cat: NOUN - .: PUNCT 3. Head node (parent): - The: the parent of this word is "dog" at position 3 - big: the parent of this word is "dog" at position 3 - dog: the parent of this word is "chased" at position 4 - chased: this is the root node, therefore its head is 0 - the: the parent of this word is "cat" at position 6 - cat: the parent of this word is "chased" at position 4 - .: the parent of this word is "chased" at position 4 3. Dependency Relations: - root(ROOT, chased) - det(dog, The) - amod(dog, big) - nsubj(chased, dog) - det(cat, the) - obj(chased, cat) Combining the above annotations, the final output in UD format is: Position Tokenization UPOS Head Deprel 1 The DET 3 det 2 big ADJ 3 amod 3 dog NOUN 4 nsubj 4 chased VERB 0 ROOT 5 the DET 6 det 6 cat NOUN 4 obj 7 . PUNCT 4 punct

Generate UD annotations for the following text: Асабліва паказальны вобраз самога Івася - магутнага, але абсалютна безініцыятыўнага беларуса.

Position Tokenization UPOS Head Deprel 1 Асабліва ADV 0 root 2 паказальны ADJ 3 amod 3 вобраз NOUN 1 nsubj 4 самога ADJ 5 amod 5 Івася PROPN 3 nmod 6 - PUNCT 7 punct 7 магутнага ADJ 5 appos 8 , PUNCT 12 punct 9 але CCONJ 12 cc 10 абсалютна ADV 11 advmod 11 безініцыятыўнага ADJ 12 amod 12 беларуса NOUN 5 conj 13 . PUNCT 1 punct

As a helpful and smart assistant, your task is to parse a given text in any language to Universal Dependency (UD) format including POS tags and dependency relations (HEAD and DEPREL). Key Components of UD Annotation: 1. Tokens: The fundamental units within UD are tokens. These can be individual words, punctuation marks, or even parts of multi-word expressions. Each token has several associated attributes. 2. UPOS Tags: The UPOS field in the CoNLL-U format represents the universal part-of-speech tag assigned to each word. This tag is part of a universal POS tag set designed to be applicable across different languages. The UPOS tags include categories such as NOUN, VERB, ADJ (adjective), ADV (adverb), PRON (pronoun), DET (determiner), and more. 3. Dependency Relations: Dependency relations are the core of the syntactic representation. They form a tree structure over the tokens in a sentence. Here's how they work: - HEAD: This field indicates the head of the current word. The head is the word that the current word is connected to in the dependency parse tree. The value is an integer that corresponds to the ID of the head word within the same sentence. A value of zero (0) indicates that the word is the root of the sentence. - DEPREL: The DEPREL field specifies the type of dependency relation between the current word and its head (as specified in the HEAD field). The value is a universal dependency relation or a language-specific subtype of such a relation. Note: Blank lines are used to mark the boundaries between sentences. Example: Let's analyze this sentence with its UD annotation: "The big dog chased the cat." 1. Tokenization: - The - big - dog - chased - the - cat - . 2. UPOS Tags: - The: DET - big: ADJ - dog: NOUN - chased: VERB - the: DET - cat: NOUN - .: PUNCT 3. Head node (parent): - The: the parent of this word is "dog" at position 3 - big: the parent of this word is "dog" at position 3 - dog: the parent of this word is "chased" at position 4 - chased: this is the root node, therefore its head is 0 - the: the parent of this word is "cat" at position 6 - cat: the parent of this word is "chased" at position 4 - .: the parent of this word is "chased" at position 4 3. Dependency Relations: - root(ROOT, chased) - det(dog, The) - amod(dog, big) - nsubj(chased, dog) - det(cat, the) - obj(chased, cat) Combining the above annotations, the final output in UD format is: Position Tokenization UPOS Head Deprel 1 The DET 3 det 2 big ADJ 3 amod 3 dog NOUN 4 nsubj 4 chased VERB 0 ROOT 5 the DET 6 det 6 cat NOUN 4 obj 7 . PUNCT 4 punct

Generate UD annotations for the following text: Ад нямецкіх войскаў Менск быў вызвалены ў ліпені

Position Tokenization UPOS Head Deprel 1 Ад ADP 3 case 2 нямецкіх ADJ 3 amod 3 войскаў NOUN 6 obl 4 Менск PROPN 3 appos 5 быў AUX 6 aux:pass 6 вызвалены VERB 0 root 7 ў ADP 8 case 8 ліпені NOUN 6 obl

As a helpful and smart assistant, your task is to parse a given text in any language to Universal Dependency (UD) format including POS tags and dependency relations (HEAD and DEPREL). Key Components of UD Annotation: 1. Tokens: The fundamental units within UD are tokens. These can be individual words, punctuation marks, or even parts of multi-word expressions. Each token has several associated attributes. 2. UPOS Tags: The UPOS field in the CoNLL-U format represents the universal part-of-speech tag assigned to each word. This tag is part of a universal POS tag set designed to be applicable across different languages. The UPOS tags include categories such as NOUN, VERB, ADJ (adjective), ADV (adverb), PRON (pronoun), DET (determiner), and more. 3. Dependency Relations: Dependency relations are the core of the syntactic representation. They form a tree structure over the tokens in a sentence. Here's how they work: - HEAD: This field indicates the head of the current word. The head is the word that the current word is connected to in the dependency parse tree. The value is an integer that corresponds to the ID of the head word within the same sentence. A value of zero (0) indicates that the word is the root of the sentence. - DEPREL: The DEPREL field specifies the type of dependency relation between the current word and its head (as specified in the HEAD field). The value is a universal dependency relation or a language-specific subtype of such a relation. Note: Blank lines are used to mark the boundaries between sentences. Example: Let's analyze this sentence with its UD annotation: "The big dog chased the cat." 1. Tokenization: - The - big - dog - chased - the - cat - . 2. UPOS Tags: - The: DET - big: ADJ - dog: NOUN - chased: VERB - the: DET - cat: NOUN - .: PUNCT 3. Head node (parent): - The: the parent of this word is "dog" at position 3 - big: the parent of this word is "dog" at position 3 - dog: the parent of this word is "chased" at position 4 - chased: this is the root node, therefore its head is 0 - the: the parent of this word is "cat" at position 6 - cat: the parent of this word is "chased" at position 4 - .: the parent of this word is "chased" at position 4 3. Dependency Relations: - root(ROOT, chased) - det(dog, The) - amod(dog, big) - nsubj(chased, dog) - det(cat, the) - obj(chased, cat) Combining the above annotations, the final output in UD format is: Position Tokenization UPOS Head Deprel 1 The DET 3 det 2 big ADJ 3 amod 3 dog NOUN 4 nsubj 4 chased VERB 0 ROOT 5 the DET 6 det 6 cat NOUN 4 obj 7 . PUNCT 4 punct

Generate UD annotations for the following text: Здымак Горадні быў зроблены ў 1890 годзе Анатолем Сівіцкім — бацькам Зоські Верас.

Position Tokenization UPOS Head Deprel 1 Здымак NOUN 4 nsubj:pass 2 Горадні PROPN 1 nmod 3 быў AUX 4 aux:pass 4 зроблены VERB 0 root 5 ў ADP 7 case 6 1890 ADJ 7 amod 7 годзе NOUN 4 obl 8 Анатолем PROPN 7 appos 9 Сівіцкім PROPN 8 flat:name 10 — PUNCT 11 punct 11 бацькам NOUN 8 appos 12 Зоські PROPN 11 nmod 13 Верас PROPN 12 flat:name 14 . PUNCT 4 punct

As a helpful and smart assistant, your task is to parse a given text in any language to Universal Dependency (UD) format including POS tags and dependency relations (HEAD and DEPREL). Key Components of UD Annotation: 1. Tokens: The fundamental units within UD are tokens. These can be individual words, punctuation marks, or even parts of multi-word expressions. Each token has several associated attributes. 2. UPOS Tags: The UPOS field in the CoNLL-U format represents the universal part-of-speech tag assigned to each word. This tag is part of a universal POS tag set designed to be applicable across different languages. The UPOS tags include categories such as NOUN, VERB, ADJ (adjective), ADV (adverb), PRON (pronoun), DET (determiner), and more. 3. Dependency Relations: Dependency relations are the core of the syntactic representation. They form a tree structure over the tokens in a sentence. Here's how they work: - HEAD: This field indicates the head of the current word. The head is the word that the current word is connected to in the dependency parse tree. The value is an integer that corresponds to the ID of the head word within the same sentence. A value of zero (0) indicates that the word is the root of the sentence. - DEPREL: The DEPREL field specifies the type of dependency relation between the current word and its head (as specified in the HEAD field). The value is a universal dependency relation or a language-specific subtype of such a relation. Note: Blank lines are used to mark the boundaries between sentences. Example: Let's analyze this sentence with its UD annotation: "The big dog chased the cat." 1. Tokenization: - The - big - dog - chased - the - cat - . 2. UPOS Tags: - The: DET - big: ADJ - dog: NOUN - chased: VERB - the: DET - cat: NOUN - .: PUNCT 3. Head node (parent): - The: the parent of this word is "dog" at position 3 - big: the parent of this word is "dog" at position 3 - dog: the parent of this word is "chased" at position 4 - chased: this is the root node, therefore its head is 0 - the: the parent of this word is "cat" at position 6 - cat: the parent of this word is "chased" at position 4 - .: the parent of this word is "chased" at position 4 3. Dependency Relations: - root(ROOT, chased) - det(dog, The) - amod(dog, big) - nsubj(chased, dog) - det(cat, the) - obj(chased, cat) Combining the above annotations, the final output in UD format is: Position Tokenization UPOS Head Deprel 1 The DET 3 det 2 big ADJ 3 amod 3 dog NOUN 4 nsubj 4 chased VERB 0 ROOT 5 the DET 6 det 6 cat NOUN 4 obj 7 . PUNCT 4 punct

Generate UD annotations for the following text: Шпіёнскі Менск у відэаматэрыяле Ігара Мельнікава

Position Tokenization UPOS Head Deprel 1 Шпіёнскі ADJ 2 amod 2 Менск PROPN 0 root 3 у ADP 4 case 4 відэаматэрыяле NOUN 2 nmod 5 Ігара PROPN 4 nmod 6 Мельнікава PROPN 2 nmod

As a helpful and smart assistant, your task is to parse a given text in any language to Universal Dependency (UD) format including POS tags and dependency relations (HEAD and DEPREL). Key Components of UD Annotation: 1. Tokens: The fundamental units within UD are tokens. These can be individual words, punctuation marks, or even parts of multi-word expressions. Each token has several associated attributes. 2. UPOS Tags: The UPOS field in the CoNLL-U format represents the universal part-of-speech tag assigned to each word. This tag is part of a universal POS tag set designed to be applicable across different languages. The UPOS tags include categories such as NOUN, VERB, ADJ (adjective), ADV (adverb), PRON (pronoun), DET (determiner), and more. 3. Dependency Relations: Dependency relations are the core of the syntactic representation. They form a tree structure over the tokens in a sentence. Here's how they work: - HEAD: This field indicates the head of the current word. The head is the word that the current word is connected to in the dependency parse tree. The value is an integer that corresponds to the ID of the head word within the same sentence. A value of zero (0) indicates that the word is the root of the sentence. - DEPREL: The DEPREL field specifies the type of dependency relation between the current word and its head (as specified in the HEAD field). The value is a universal dependency relation or a language-specific subtype of such a relation. Note: Blank lines are used to mark the boundaries between sentences. Example: Let's analyze this sentence with its UD annotation: "The big dog chased the cat." 1. Tokenization: - The - big - dog - chased - the - cat - . 2. UPOS Tags: - The: DET - big: ADJ - dog: NOUN - chased: VERB - the: DET - cat: NOUN - .: PUNCT 3. Head node (parent): - The: the parent of this word is "dog" at position 3 - big: the parent of this word is "dog" at position 3 - dog: the parent of this word is "chased" at position 4 - chased: this is the root node, therefore its head is 0 - the: the parent of this word is "cat" at position 6 - cat: the parent of this word is "chased" at position 4 - .: the parent of this word is "chased" at position 4 3. Dependency Relations: - root(ROOT, chased) - det(dog, The) - amod(dog, big) - nsubj(chased, dog) - det(cat, the) - obj(chased, cat) Combining the above annotations, the final output in UD format is: Position Tokenization UPOS Head Deprel 1 The DET 3 det 2 big ADJ 3 amod 3 dog NOUN 4 nsubj 4 chased VERB 0 ROOT 5 the DET 6 det 6 cat NOUN 4 obj 7 . PUNCT 4 punct

Generate UD annotations for the following text: Менскае замчышча на пачатку XX стагодзьдзя.

Position Tokenization UPOS Head Deprel 1 Менскае ADJ 2 amod 2 замчышча NOUN 0 root 3 на ADP 4 case 4 пачатку NOUN 2 nmod 5 XX ADJ 6 amod 6 стагодзьдзя NOUN 4 nmod 7 . PUNCT 2 punct

As a helpful and smart assistant, your task is to parse a given text in any language to Universal Dependency (UD) format including POS tags and dependency relations (HEAD and DEPREL). Key Components of UD Annotation: 1. Tokens: The fundamental units within UD are tokens. These can be individual words, punctuation marks, or even parts of multi-word expressions. Each token has several associated attributes. 2. UPOS Tags: The UPOS field in the CoNLL-U format represents the universal part-of-speech tag assigned to each word. This tag is part of a universal POS tag set designed to be applicable across different languages. The UPOS tags include categories such as NOUN, VERB, ADJ (adjective), ADV (adverb), PRON (pronoun), DET (determiner), and more. 3. Dependency Relations: Dependency relations are the core of the syntactic representation. They form a tree structure over the tokens in a sentence. Here's how they work: - HEAD: This field indicates the head of the current word. The head is the word that the current word is connected to in the dependency parse tree. The value is an integer that corresponds to the ID of the head word within the same sentence. A value of zero (0) indicates that the word is the root of the sentence. - DEPREL: The DEPREL field specifies the type of dependency relation between the current word and its head (as specified in the HEAD field). The value is a universal dependency relation or a language-specific subtype of such a relation. Note: Blank lines are used to mark the boundaries between sentences. Example: Let's analyze this sentence with its UD annotation: "The big dog chased the cat." 1. Tokenization: - The - big - dog - chased - the - cat - . 2. UPOS Tags: - The: DET - big: ADJ - dog: NOUN - chased: VERB - the: DET - cat: NOUN - .: PUNCT 3. Head node (parent): - The: the parent of this word is "dog" at position 3 - big: the parent of this word is "dog" at position 3 - dog: the parent of this word is "chased" at position 4 - chased: this is the root node, therefore its head is 0 - the: the parent of this word is "cat" at position 6 - cat: the parent of this word is "chased" at position 4 - .: the parent of this word is "chased" at position 4 3. Dependency Relations: - root(ROOT, chased) - det(dog, The) - amod(dog, big) - nsubj(chased, dog) - det(cat, the) - obj(chased, cat) Combining the above annotations, the final output in UD format is: Position Tokenization UPOS Head Deprel 1 The DET 3 det 2 big ADJ 3 amod 3 dog NOUN 4 nsubj 4 chased VERB 0 ROOT 5 the DET 6 det 6 cat NOUN 4 obj 7 . PUNCT 4 punct

Generate UD annotations for the following text: Валы і насыпы былі зрытыя ў 50-е для будовы Палацу Спорту

Position Tokenization UPOS Head Deprel 1 Валы NOUN 5 nsubj:pass 2 і CCONJ 3 cc 3 насыпы NOUN 1 conj 4 былі AUX 5 aux:pass 5 зрытыя VERB 0 root 6 ў ADP 10 case 7 50-е ADJ 5 obl 8 для ADP 9 case 9 будовы NOUN 5 obl 10 Палацу NOUN 9 nmod 11 Спорту NOUN 10 nmod

As a helpful and smart assistant, your task is to parse a given text in any language to Universal Dependency (UD) format including POS tags and dependency relations (HEAD and DEPREL). Key Components of UD Annotation: 1. Tokens: The fundamental units within UD are tokens. These can be individual words, punctuation marks, or even parts of multi-word expressions. Each token has several associated attributes. 2. UPOS Tags: The UPOS field in the CoNLL-U format represents the universal part-of-speech tag assigned to each word. This tag is part of a universal POS tag set designed to be applicable across different languages. The UPOS tags include categories such as NOUN, VERB, ADJ (adjective), ADV (adverb), PRON (pronoun), DET (determiner), and more. 3. Dependency Relations: Dependency relations are the core of the syntactic representation. They form a tree structure over the tokens in a sentence. Here's how they work: - HEAD: This field indicates the head of the current word. The head is the word that the current word is connected to in the dependency parse tree. The value is an integer that corresponds to the ID of the head word within the same sentence. A value of zero (0) indicates that the word is the root of the sentence. - DEPREL: The DEPREL field specifies the type of dependency relation between the current word and its head (as specified in the HEAD field). The value is a universal dependency relation or a language-specific subtype of such a relation. Note: Blank lines are used to mark the boundaries between sentences. Example: Let's analyze this sentence with its UD annotation: "The big dog chased the cat." 1. Tokenization: - The - big - dog - chased - the - cat - . 2. UPOS Tags: - The: DET - big: ADJ - dog: NOUN - chased: VERB - the: DET - cat: NOUN - .: PUNCT 3. Head node (parent): - The: the parent of this word is "dog" at position 3 - big: the parent of this word is "dog" at position 3 - dog: the parent of this word is "chased" at position 4 - chased: this is the root node, therefore its head is 0 - the: the parent of this word is "cat" at position 6 - cat: the parent of this word is "chased" at position 4 - .: the parent of this word is "chased" at position 4 3. Dependency Relations: - root(ROOT, chased) - det(dog, The) - amod(dog, big) - nsubj(chased, dog) - det(cat, the) - obj(chased, cat) Combining the above annotations, the final output in UD format is: Position Tokenization UPOS Head Deprel 1 The DET 3 det 2 big ADJ 3 amod 3 dog NOUN 4 nsubj 4 chased VERB 0 ROOT 5 the DET 6 det 6 cat NOUN 4 obj 7 . PUNCT 4 punct

Generate UD annotations for the following text: Як БНФ узяў тэлебачаньне

Position Tokenization UPOS Head Deprel 1 Як ADV 3 advmod 2 БНФ PROPN 3 nsubj 3 узяў VERB 0 root 4 тэлебачаньне NOUN 3 obj

As a helpful and smart assistant, your task is to parse a given text in any language to Universal Dependency (UD) format including POS tags and dependency relations (HEAD and DEPREL). Key Components of UD Annotation: 1. Tokens: The fundamental units within UD are tokens. These can be individual words, punctuation marks, or even parts of multi-word expressions. Each token has several associated attributes. 2. UPOS Tags: The UPOS field in the CoNLL-U format represents the universal part-of-speech tag assigned to each word. This tag is part of a universal POS tag set designed to be applicable across different languages. The UPOS tags include categories such as NOUN, VERB, ADJ (adjective), ADV (adverb), PRON (pronoun), DET (determiner), and more. 3. Dependency Relations: Dependency relations are the core of the syntactic representation. They form a tree structure over the tokens in a sentence. Here's how they work: - HEAD: This field indicates the head of the current word. The head is the word that the current word is connected to in the dependency parse tree. The value is an integer that corresponds to the ID of the head word within the same sentence. A value of zero (0) indicates that the word is the root of the sentence. - DEPREL: The DEPREL field specifies the type of dependency relation between the current word and its head (as specified in the HEAD field). The value is a universal dependency relation or a language-specific subtype of such a relation. Note: Blank lines are used to mark the boundaries between sentences. Example: Let's analyze this sentence with its UD annotation: "The big dog chased the cat." 1. Tokenization: - The - big - dog - chased - the - cat - . 2. UPOS Tags: - The: DET - big: ADJ - dog: NOUN - chased: VERB - the: DET - cat: NOUN - .: PUNCT 3. Head node (parent): - The: the parent of this word is "dog" at position 3 - big: the parent of this word is "dog" at position 3 - dog: the parent of this word is "chased" at position 4 - chased: this is the root node, therefore its head is 0 - the: the parent of this word is "cat" at position 6 - cat: the parent of this word is "chased" at position 4 - .: the parent of this word is "chased" at position 4 3. Dependency Relations: - root(ROOT, chased) - det(dog, The) - amod(dog, big) - nsubj(chased, dog) - det(cat, the) - obj(chased, cat) Combining the above annotations, the final output in UD format is: Position Tokenization UPOS Head Deprel 1 The DET 3 det 2 big ADJ 3 amod 3 dog NOUN 4 nsubj 4 chased VERB 0 ROOT 5 the DET 6 det 6 cat NOUN 4 obj 7 . PUNCT 4 punct

Generate UD annotations for the following text: #лікбез

Position Tokenization UPOS Head Deprel 1 #лікбез X 0 root

As a helpful and smart assistant, your task is to parse a given text in any language to Universal Dependency (UD) format including POS tags and dependency relations (HEAD and DEPREL). Key Components of UD Annotation: 1. Tokens: The fundamental units within UD are tokens. These can be individual words, punctuation marks, or even parts of multi-word expressions. Each token has several associated attributes. 2. UPOS Tags: The UPOS field in the CoNLL-U format represents the universal part-of-speech tag assigned to each word. This tag is part of a universal POS tag set designed to be applicable across different languages. The UPOS tags include categories such as NOUN, VERB, ADJ (adjective), ADV (adverb), PRON (pronoun), DET (determiner), and more. 3. Dependency Relations: Dependency relations are the core of the syntactic representation. They form a tree structure over the tokens in a sentence. Here's how they work: - HEAD: This field indicates the head of the current word. The head is the word that the current word is connected to in the dependency parse tree. The value is an integer that corresponds to the ID of the head word within the same sentence. A value of zero (0) indicates that the word is the root of the sentence. - DEPREL: The DEPREL field specifies the type of dependency relation between the current word and its head (as specified in the HEAD field). The value is a universal dependency relation or a language-specific subtype of such a relation. Note: Blank lines are used to mark the boundaries between sentences. Example: Let's analyze this sentence with its UD annotation: "The big dog chased the cat." 1. Tokenization: - The - big - dog - chased - the - cat - . 2. UPOS Tags: - The: DET - big: ADJ - dog: NOUN - chased: VERB - the: DET - cat: NOUN - .: PUNCT 3. Head node (parent): - The: the parent of this word is "dog" at position 3 - big: the parent of this word is "dog" at position 3 - dog: the parent of this word is "chased" at position 4 - chased: this is the root node, therefore its head is 0 - the: the parent of this word is "cat" at position 6 - cat: the parent of this word is "chased" at position 4 - .: the parent of this word is "chased" at position 4 3. Dependency Relations: - root(ROOT, chased) - det(dog, The) - amod(dog, big) - nsubj(chased, dog) - det(cat, the) - obj(chased, cat) Combining the above annotations, the final output in UD format is: Position Tokenization UPOS Head Deprel 1 The DET 3 det 2 big ADJ 3 amod 3 dog NOUN 4 nsubj 4 chased VERB 0 ROOT 5 the DET 6 det 6 cat NOUN 4 obj 7 . PUNCT 4 punct

Generate UD annotations for the following text: Артыкул пра жыццё прастытутак у Віцебску 1920-х гадоў:

Position Tokenization UPOS Head Deprel 1 Артыкул NOUN 0 root 2 пра ADP 3 case 3 жыццё NOUN 1 nmod 4 прастытутак NOUN 3 nmod 5 у ADP 6 case 6 Віцебску PROPN 1 nmod 7 1920-х ADJ 8 amod 8 гадоў NOUN 6 nmod 9 : PUNCT 1 punct

As a helpful and smart assistant, your task is to parse a given text in any language to Universal Dependency (UD) format including POS tags and dependency relations (HEAD and DEPREL). Key Components of UD Annotation: 1. Tokens: The fundamental units within UD are tokens. These can be individual words, punctuation marks, or even parts of multi-word expressions. Each token has several associated attributes. 2. UPOS Tags: The UPOS field in the CoNLL-U format represents the universal part-of-speech tag assigned to each word. This tag is part of a universal POS tag set designed to be applicable across different languages. The UPOS tags include categories such as NOUN, VERB, ADJ (adjective), ADV (adverb), PRON (pronoun), DET (determiner), and more. 3. Dependency Relations: Dependency relations are the core of the syntactic representation. They form a tree structure over the tokens in a sentence. Here's how they work: - HEAD: This field indicates the head of the current word. The head is the word that the current word is connected to in the dependency parse tree. The value is an integer that corresponds to the ID of the head word within the same sentence. A value of zero (0) indicates that the word is the root of the sentence. - DEPREL: The DEPREL field specifies the type of dependency relation between the current word and its head (as specified in the HEAD field). The value is a universal dependency relation or a language-specific subtype of such a relation. Note: Blank lines are used to mark the boundaries between sentences. Example: Let's analyze this sentence with its UD annotation: "The big dog chased the cat." 1. Tokenization: - The - big - dog - chased - the - cat - . 2. UPOS Tags: - The: DET - big: ADJ - dog: NOUN - chased: VERB - the: DET - cat: NOUN - .: PUNCT 3. Head node (parent): - The: the parent of this word is "dog" at position 3 - big: the parent of this word is "dog" at position 3 - dog: the parent of this word is "chased" at position 4 - chased: this is the root node, therefore its head is 0 - the: the parent of this word is "cat" at position 6 - cat: the parent of this word is "chased" at position 4 - .: the parent of this word is "chased" at position 4 3. Dependency Relations: - root(ROOT, chased) - det(dog, The) - amod(dog, big) - nsubj(chased, dog) - det(cat, the) - obj(chased, cat) Combining the above annotations, the final output in UD format is: Position Tokenization UPOS Head Deprel 1 The DET 3 det 2 big ADJ 3 amod 3 dog NOUN 4 nsubj 4 chased VERB 0 ROOT 5 the DET 6 det 6 cat NOUN 4 obj 7 . PUNCT 4 punct

Generate UD annotations for the following text: Трамвай важны атрыбут эўрапейскага места.

Position Tokenization UPOS Head Deprel 1 Трамвай NOUN 3 nsubj 2 важны ADJ 3 amod 3 атрыбут NOUN 0 root 4 эўрапейскага ADJ 5 amod 5 места NOUN 3 nmod 6 . PUNCT 3 punct

As a helpful and smart assistant, your task is to parse a given text in any language to Universal Dependency (UD) format including POS tags and dependency relations (HEAD and DEPREL). Key Components of UD Annotation: 1. Tokens: The fundamental units within UD are tokens. These can be individual words, punctuation marks, or even parts of multi-word expressions. Each token has several associated attributes. 2. UPOS Tags: The UPOS field in the CoNLL-U format represents the universal part-of-speech tag assigned to each word. This tag is part of a universal POS tag set designed to be applicable across different languages. The UPOS tags include categories such as NOUN, VERB, ADJ (adjective), ADV (adverb), PRON (pronoun), DET (determiner), and more. 3. Dependency Relations: Dependency relations are the core of the syntactic representation. They form a tree structure over the tokens in a sentence. Here's how they work: - HEAD: This field indicates the head of the current word. The head is the word that the current word is connected to in the dependency parse tree. The value is an integer that corresponds to the ID of the head word within the same sentence. A value of zero (0) indicates that the word is the root of the sentence. - DEPREL: The DEPREL field specifies the type of dependency relation between the current word and its head (as specified in the HEAD field). The value is a universal dependency relation or a language-specific subtype of such a relation. Note: Blank lines are used to mark the boundaries between sentences. Example: Let's analyze this sentence with its UD annotation: "The big dog chased the cat." 1. Tokenization: - The - big - dog - chased - the - cat - . 2. UPOS Tags: - The: DET - big: ADJ - dog: NOUN - chased: VERB - the: DET - cat: NOUN - .: PUNCT 3. Head node (parent): - The: the parent of this word is "dog" at position 3 - big: the parent of this word is "dog" at position 3 - dog: the parent of this word is "chased" at position 4 - chased: this is the root node, therefore its head is 0 - the: the parent of this word is "cat" at position 6 - cat: the parent of this word is "chased" at position 4 - .: the parent of this word is "chased" at position 4 3. Dependency Relations: - root(ROOT, chased) - det(dog, The) - amod(dog, big) - nsubj(chased, dog) - det(cat, the) - obj(chased, cat) Combining the above annotations, the final output in UD format is: Position Tokenization UPOS Head Deprel 1 The DET 3 det 2 big ADJ 3 amod 3 dog NOUN 4 nsubj 4 chased VERB 0 ROOT 5 the DET 6 det 6 cat NOUN 4 obj 7 . PUNCT 4 punct

Generate UD annotations for the following text: Пры правільным праектаваньні ён здатны вывезьці шматмільённы горад з затораў і ідэальна пасуе як транспарт у шчыльнай забудове гістарычнага цэнтру.

Position Tokenization UPOS Head Deprel 1 Пры ADP 3 case 2 правільным ADJ 3 amod 3 праектаваньні NOUN 6 obl 4 ён PRON 6 nsubj 5 здатны ADJ 4 amod 6 вывезьці VERB 0 root 7 шматмільённы ADJ 6 obl 8 горад NOUN 13 obj 9 з ADP 10 case 10 затораў NOUN 8 nmod 11 і CCONJ 13 cc 12 ідэальна ADV 13 advmod 13 пасуе VERB 7 conj 14 як ADV 13 advmod 15 транспарт NOUN 13 nsubj 16 у ADP 18 case 17 шчыльнай ADJ 18 amod 18 забудове NOUN 13 obl 19 гістарычнага ADJ 20 amod 20 цэнтру NOUN 18 nmod 21 . PUNCT 6 punct

As a helpful and smart assistant, your task is to parse a given text in any language to Universal Dependency (UD) format including POS tags and dependency relations (HEAD and DEPREL). Key Components of UD Annotation: 1. Tokens: The fundamental units within UD are tokens. These can be individual words, punctuation marks, or even parts of multi-word expressions. Each token has several associated attributes. 2. UPOS Tags: The UPOS field in the CoNLL-U format represents the universal part-of-speech tag assigned to each word. This tag is part of a universal POS tag set designed to be applicable across different languages. The UPOS tags include categories such as NOUN, VERB, ADJ (adjective), ADV (adverb), PRON (pronoun), DET (determiner), and more. 3. Dependency Relations: Dependency relations are the core of the syntactic representation. They form a tree structure over the tokens in a sentence. Here's how they work: - HEAD: This field indicates the head of the current word. The head is the word that the current word is connected to in the dependency parse tree. The value is an integer that corresponds to the ID of the head word within the same sentence. A value of zero (0) indicates that the word is the root of the sentence. - DEPREL: The DEPREL field specifies the type of dependency relation between the current word and its head (as specified in the HEAD field). The value is a universal dependency relation or a language-specific subtype of such a relation. Note: Blank lines are used to mark the boundaries between sentences. Example: Let's analyze this sentence with its UD annotation: "The big dog chased the cat." 1. Tokenization: - The - big - dog - chased - the - cat - . 2. UPOS Tags: - The: DET - big: ADJ - dog: NOUN - chased: VERB - the: DET - cat: NOUN - .: PUNCT 3. Head node (parent): - The: the parent of this word is "dog" at position 3 - big: the parent of this word is "dog" at position 3 - dog: the parent of this word is "chased" at position 4 - chased: this is the root node, therefore its head is 0 - the: the parent of this word is "cat" at position 6 - cat: the parent of this word is "chased" at position 4 - .: the parent of this word is "chased" at position 4 3. Dependency Relations: - root(ROOT, chased) - det(dog, The) - amod(dog, big) - nsubj(chased, dog) - det(cat, the) - obj(chased, cat) Combining the above annotations, the final output in UD format is: Position Tokenization UPOS Head Deprel 1 The DET 3 det 2 big ADJ 3 amod 3 dog NOUN 4 nsubj 4 chased VERB 0 ROOT 5 the DET 6 det 6 cat NOUN 4 obj 7 . PUNCT 4 punct

Generate UD annotations for the following text: 📷Скрыжаваньне сучасных вуліц Інтэрнацыянальнай і Гарадзкога валу ў 60-е.

Position Tokenization UPOS Head Deprel 1 📷Скрыжаваньне NOUN 0 root 2 сучасных ADJ 3 amod 3 вуліц NOUN 1 nmod 4 Інтэрнацыянальнай ADJ 7 amod 5 і CCONJ 6 cc 6 Гарадзкога ADJ 4 conj 7 валу NOUN 3 nmod 8 ў ADP 9 case 9 60-е ADJ 1 obl 10 . PUNCT 1 punct

As a helpful and smart assistant, your task is to parse a given text in any language to Universal Dependency (UD) format including POS tags and dependency relations (HEAD and DEPREL). Key Components of UD Annotation: 1. Tokens: The fundamental units within UD are tokens. These can be individual words, punctuation marks, or even parts of multi-word expressions. Each token has several associated attributes. 2. UPOS Tags: The UPOS field in the CoNLL-U format represents the universal part-of-speech tag assigned to each word. This tag is part of a universal POS tag set designed to be applicable across different languages. The UPOS tags include categories such as NOUN, VERB, ADJ (adjective), ADV (adverb), PRON (pronoun), DET (determiner), and more. 3. Dependency Relations: Dependency relations are the core of the syntactic representation. They form a tree structure over the tokens in a sentence. Here's how they work: - HEAD: This field indicates the head of the current word. The head is the word that the current word is connected to in the dependency parse tree. The value is an integer that corresponds to the ID of the head word within the same sentence. A value of zero (0) indicates that the word is the root of the sentence. - DEPREL: The DEPREL field specifies the type of dependency relation between the current word and its head (as specified in the HEAD field). The value is a universal dependency relation or a language-specific subtype of such a relation. Note: Blank lines are used to mark the boundaries between sentences. Example: Let's analyze this sentence with its UD annotation: "The big dog chased the cat." 1. Tokenization: - The - big - dog - chased - the - cat - . 2. UPOS Tags: - The: DET - big: ADJ - dog: NOUN - chased: VERB - the: DET - cat: NOUN - .: PUNCT 3. Head node (parent): - The: the parent of this word is "dog" at position 3 - big: the parent of this word is "dog" at position 3 - dog: the parent of this word is "chased" at position 4 - chased: this is the root node, therefore its head is 0 - the: the parent of this word is "cat" at position 6 - cat: the parent of this word is "chased" at position 4 - .: the parent of this word is "chased" at position 4 3. Dependency Relations: - root(ROOT, chased) - det(dog, The) - amod(dog, big) - nsubj(chased, dog) - det(cat, the) - obj(chased, cat) Combining the above annotations, the final output in UD format is: Position Tokenization UPOS Head Deprel 1 The DET 3 det 2 big ADJ 3 amod 3 dog NOUN 4 nsubj 4 chased VERB 0 ROOT 5 the DET 6 det 6 cat NOUN 4 obj 7 . PUNCT 4 punct

Generate UD annotations for the following text: Неўзабаве трамвай замяняць тралейбусам, які будзе хадзіць да 2006 года.

Position Tokenization UPOS Head Deprel 1 Неўзабаве ADV 3 advmod 2 трамвай NOUN 3 obj 3 замяняць VERB 0 root 4 тралейбусам NOUN 3 iobj 5 , PUNCT 8 punct 6 які PRON 8 nsubj 7 будзе AUX 8 aux 8 хадзіць VERB 4 acl:relcl 9 да ADP 11 case 10 2006 ADJ 11 amod 11 года NOUN 8 obl 12 . PUNCT 3 punct

As a helpful and smart assistant, your task is to parse a given text in any language to Universal Dependency (UD) format including POS tags and dependency relations (HEAD and DEPREL). Key Components of UD Annotation: 1. Tokens: The fundamental units within UD are tokens. These can be individual words, punctuation marks, or even parts of multi-word expressions. Each token has several associated attributes. 2. UPOS Tags: The UPOS field in the CoNLL-U format represents the universal part-of-speech tag assigned to each word. This tag is part of a universal POS tag set designed to be applicable across different languages. The UPOS tags include categories such as NOUN, VERB, ADJ (adjective), ADV (adverb), PRON (pronoun), DET (determiner), and more. 3. Dependency Relations: Dependency relations are the core of the syntactic representation. They form a tree structure over the tokens in a sentence. Here's how they work: - HEAD: This field indicates the head of the current word. The head is the word that the current word is connected to in the dependency parse tree. The value is an integer that corresponds to the ID of the head word within the same sentence. A value of zero (0) indicates that the word is the root of the sentence. - DEPREL: The DEPREL field specifies the type of dependency relation between the current word and its head (as specified in the HEAD field). The value is a universal dependency relation or a language-specific subtype of such a relation. Note: Blank lines are used to mark the boundaries between sentences. Example: Let's analyze this sentence with its UD annotation: "The big dog chased the cat." 1. Tokenization: - The - big - dog - chased - the - cat - . 2. UPOS Tags: - The: DET - big: ADJ - dog: NOUN - chased: VERB - the: DET - cat: NOUN - .: PUNCT 3. Head node (parent): - The: the parent of this word is "dog" at position 3 - big: the parent of this word is "dog" at position 3 - dog: the parent of this word is "chased" at position 4 - chased: this is the root node, therefore its head is 0 - the: the parent of this word is "cat" at position 6 - cat: the parent of this word is "chased" at position 4 - .: the parent of this word is "chased" at position 4 3. Dependency Relations: - root(ROOT, chased) - det(dog, The) - amod(dog, big) - nsubj(chased, dog) - det(cat, the) - obj(chased, cat) Combining the above annotations, the final output in UD format is: Position Tokenization UPOS Head Deprel 1 The DET 3 det 2 big ADJ 3 amod 3 dog NOUN 4 nsubj 4 chased VERB 0 ROOT 5 the DET 6 det 6 cat NOUN 4 obj 7 . PUNCT 4 punct

Generate UD annotations for the following text: Касцёл у Рэчыцы, які саветы перарабілі ў... бар

Position Tokenization UPOS Head Deprel 1 Касцёл NOUN 0 root 2 у ADP 3 case 3 Рэчыцы PROPN 1 nmod 4 , PUNCT 7 punct 5 які PRON 7 obj 6 саветы NOUN 7 nsubj 7 перарабілі VERB 1 acl:relcl 8 ў ADP 10 case 9 ... PUNCT 10 punct 10 бар NOUN 7 obl

As a helpful and smart assistant, your task is to parse a given text in any language to Universal Dependency (UD) format including POS tags and dependency relations (HEAD and DEPREL). Key Components of UD Annotation: 1. Tokens: The fundamental units within UD are tokens. These can be individual words, punctuation marks, or even parts of multi-word expressions. Each token has several associated attributes. 2. UPOS Tags: The UPOS field in the CoNLL-U format represents the universal part-of-speech tag assigned to each word. This tag is part of a universal POS tag set designed to be applicable across different languages. The UPOS tags include categories such as NOUN, VERB, ADJ (adjective), ADV (adverb), PRON (pronoun), DET (determiner), and more. 3. Dependency Relations: Dependency relations are the core of the syntactic representation. They form a tree structure over the tokens in a sentence. Here's how they work: - HEAD: This field indicates the head of the current word. The head is the word that the current word is connected to in the dependency parse tree. The value is an integer that corresponds to the ID of the head word within the same sentence. A value of zero (0) indicates that the word is the root of the sentence. - DEPREL: The DEPREL field specifies the type of dependency relation between the current word and its head (as specified in the HEAD field). The value is a universal dependency relation or a language-specific subtype of such a relation. Note: Blank lines are used to mark the boundaries between sentences. Example: Let's analyze this sentence with its UD annotation: "The big dog chased the cat." 1. Tokenization: - The - big - dog - chased - the - cat - . 2. UPOS Tags: - The: DET - big: ADJ - dog: NOUN - chased: VERB - the: DET - cat: NOUN - .: PUNCT 3. Head node (parent): - The: the parent of this word is "dog" at position 3 - big: the parent of this word is "dog" at position 3 - dog: the parent of this word is "chased" at position 4 - chased: this is the root node, therefore its head is 0 - the: the parent of this word is "cat" at position 6 - cat: the parent of this word is "chased" at position 4 - .: the parent of this word is "chased" at position 4 3. Dependency Relations: - root(ROOT, chased) - det(dog, The) - amod(dog, big) - nsubj(chased, dog) - det(cat, the) - obj(chased, cat) Combining the above annotations, the final output in UD format is: Position Tokenization UPOS Head Deprel 1 The DET 3 det 2 big ADJ 3 amod 3 dog NOUN 4 nsubj 4 chased VERB 0 ROOT 5 the DET 6 det 6 cat NOUN 4 obj 7 . PUNCT 4 punct

Generate UD annotations for the following text: #фотабсср

Position Tokenization UPOS Head Deprel 1 #фотабсср X 0 root

As a helpful and smart assistant, your task is to parse a given text in any language to Universal Dependency (UD) format including POS tags and dependency relations (HEAD and DEPREL). Key Components of UD Annotation: 1. Tokens: The fundamental units within UD are tokens. These can be individual words, punctuation marks, or even parts of multi-word expressions. Each token has several associated attributes. 2. UPOS Tags: The UPOS field in the CoNLL-U format represents the universal part-of-speech tag assigned to each word. This tag is part of a universal POS tag set designed to be applicable across different languages. The UPOS tags include categories such as NOUN, VERB, ADJ (adjective), ADV (adverb), PRON (pronoun), DET (determiner), and more. 3. Dependency Relations: Dependency relations are the core of the syntactic representation. They form a tree structure over the tokens in a sentence. Here's how they work: - HEAD: This field indicates the head of the current word. The head is the word that the current word is connected to in the dependency parse tree. The value is an integer that corresponds to the ID of the head word within the same sentence. A value of zero (0) indicates that the word is the root of the sentence. - DEPREL: The DEPREL field specifies the type of dependency relation between the current word and its head (as specified in the HEAD field). The value is a universal dependency relation or a language-specific subtype of such a relation. Note: Blank lines are used to mark the boundaries between sentences. Example: Let's analyze this sentence with its UD annotation: "The big dog chased the cat." 1. Tokenization: - The - big - dog - chased - the - cat - . 2. UPOS Tags: - The: DET - big: ADJ - dog: NOUN - chased: VERB - the: DET - cat: NOUN - .: PUNCT 3. Head node (parent): - The: the parent of this word is "dog" at position 3 - big: the parent of this word is "dog" at position 3 - dog: the parent of this word is "chased" at position 4 - chased: this is the root node, therefore its head is 0 - the: the parent of this word is "cat" at position 6 - cat: the parent of this word is "chased" at position 4 - .: the parent of this word is "chased" at position 4 3. Dependency Relations: - root(ROOT, chased) - det(dog, The) - amod(dog, big) - nsubj(chased, dog) - det(cat, the) - obj(chased, cat) Combining the above annotations, the final output in UD format is: Position Tokenization UPOS Head Deprel 1 The DET 3 det 2 big ADJ 3 amod 3 dog NOUN 4 nsubj 4 chased VERB 0 ROOT 5 the DET 6 det 6 cat NOUN 4 obj 7 . PUNCT 4 punct

Generate UD annotations for the following text: Атмасферны фотаздымак БССР 1930-х гадоў.

Position Tokenization UPOS Head Deprel 1 Атмасферны ADJ 2 amod 2 фотаздымак NOUN 0 root 3 БССР PROPN 2 nmod 4 1930-х ADJ 5 amod 5 гадоў NOUN 3 nmod 6 . PUNCT 2 punct

As a helpful and smart assistant, your task is to parse a given text in any language to Universal Dependency (UD) format including POS tags and dependency relations (HEAD and DEPREL). Key Components of UD Annotation: 1. Tokens: The fundamental units within UD are tokens. These can be individual words, punctuation marks, or even parts of multi-word expressions. Each token has several associated attributes. 2. UPOS Tags: The UPOS field in the CoNLL-U format represents the universal part-of-speech tag assigned to each word. This tag is part of a universal POS tag set designed to be applicable across different languages. The UPOS tags include categories such as NOUN, VERB, ADJ (adjective), ADV (adverb), PRON (pronoun), DET (determiner), and more. 3. Dependency Relations: Dependency relations are the core of the syntactic representation. They form a tree structure over the tokens in a sentence. Here's how they work: - HEAD: This field indicates the head of the current word. The head is the word that the current word is connected to in the dependency parse tree. The value is an integer that corresponds to the ID of the head word within the same sentence. A value of zero (0) indicates that the word is the root of the sentence. - DEPREL: The DEPREL field specifies the type of dependency relation between the current word and its head (as specified in the HEAD field). The value is a universal dependency relation or a language-specific subtype of such a relation. Note: Blank lines are used to mark the boundaries between sentences. Example: Let's analyze this sentence with its UD annotation: "The big dog chased the cat." 1. Tokenization: - The - big - dog - chased - the - cat - . 2. UPOS Tags: - The: DET - big: ADJ - dog: NOUN - chased: VERB - the: DET - cat: NOUN - .: PUNCT 3. Head node (parent): - The: the parent of this word is "dog" at position 3 - big: the parent of this word is "dog" at position 3 - dog: the parent of this word is "chased" at position 4 - chased: this is the root node, therefore its head is 0 - the: the parent of this word is "cat" at position 6 - cat: the parent of this word is "chased" at position 4 - .: the parent of this word is "chased" at position 4 3. Dependency Relations: - root(ROOT, chased) - det(dog, The) - amod(dog, big) - nsubj(chased, dog) - det(cat, the) - obj(chased, cat) Combining the above annotations, the final output in UD format is: Position Tokenization UPOS Head Deprel 1 The DET 3 det 2 big ADJ 3 amod 3 dog NOUN 4 nsubj 4 chased VERB 0 ROOT 5 the DET 6 det 6 cat NOUN 4 obj 7 . PUNCT 4 punct

Generate UD annotations for the following text: Меркавана гэта Менск, але гэта не дакладна.

Position Tokenization UPOS Head Deprel 1 Меркавана VERB 0 root 2 гэта PRON 1 nsubj 3 Менск PROPN 2 appos 4 , PUNCT 8 punct 5 але CCONJ 8 cc 6 гэта PRON 8 nsubj 7 не PART 8 advmod 8 дакладна ADV 2 conj 9 . PUNCT 1 punct

As a helpful and smart assistant, your task is to parse a given text in any language to Universal Dependency (UD) format including POS tags and dependency relations (HEAD and DEPREL). Key Components of UD Annotation: 1. Tokens: The fundamental units within UD are tokens. These can be individual words, punctuation marks, or even parts of multi-word expressions. Each token has several associated attributes. 2. UPOS Tags: The UPOS field in the CoNLL-U format represents the universal part-of-speech tag assigned to each word. This tag is part of a universal POS tag set designed to be applicable across different languages. The UPOS tags include categories such as NOUN, VERB, ADJ (adjective), ADV (adverb), PRON (pronoun), DET (determiner), and more. 3. Dependency Relations: Dependency relations are the core of the syntactic representation. They form a tree structure over the tokens in a sentence. Here's how they work: - HEAD: This field indicates the head of the current word. The head is the word that the current word is connected to in the dependency parse tree. The value is an integer that corresponds to the ID of the head word within the same sentence. A value of zero (0) indicates that the word is the root of the sentence. - DEPREL: The DEPREL field specifies the type of dependency relation between the current word and its head (as specified in the HEAD field). The value is a universal dependency relation or a language-specific subtype of such a relation. Note: Blank lines are used to mark the boundaries between sentences. Example: Let's analyze this sentence with its UD annotation: "The big dog chased the cat." 1. Tokenization: - The - big - dog - chased - the - cat - . 2. UPOS Tags: - The: DET - big: ADJ - dog: NOUN - chased: VERB - the: DET - cat: NOUN - .: PUNCT 3. Head node (parent): - The: the parent of this word is "dog" at position 3 - big: the parent of this word is "dog" at position 3 - dog: the parent of this word is "chased" at position 4 - chased: this is the root node, therefore its head is 0 - the: the parent of this word is "cat" at position 6 - cat: the parent of this word is "chased" at position 4 - .: the parent of this word is "chased" at position 4 3. Dependency Relations: - root(ROOT, chased) - det(dog, The) - amod(dog, big) - nsubj(chased, dog) - det(cat, the) - obj(chased, cat) Combining the above annotations, the final output in UD format is: Position Tokenization UPOS Head Deprel 1 The DET 3 det 2 big ADJ 3 amod 3 dog NOUN 4 nsubj 4 chased VERB 0 ROOT 5 the DET 6 det 6 cat NOUN 4 obj 7 . PUNCT 4 punct

Generate UD annotations for the following text: Вокладка часопісу «Сакавік» 1947 год.

Position Tokenization UPOS Head Deprel 1 Вокладка NOUN 0 root 2 часопісу NOUN 1 nmod 3 « PUNCT 4 punct 4 Сакавік NOUN 2 appos 5 » PUNCT 4 punct 6 1947 ADJ 7 amod 7 год NOUN 2 list 8 . PUNCT 1 punct

As a helpful and smart assistant, your task is to parse a given text in any language to Universal Dependency (UD) format including POS tags and dependency relations (HEAD and DEPREL). Key Components of UD Annotation: 1. Tokens: The fundamental units within UD are tokens. These can be individual words, punctuation marks, or even parts of multi-word expressions. Each token has several associated attributes. 2. UPOS Tags: The UPOS field in the CoNLL-U format represents the universal part-of-speech tag assigned to each word. This tag is part of a universal POS tag set designed to be applicable across different languages. The UPOS tags include categories such as NOUN, VERB, ADJ (adjective), ADV (adverb), PRON (pronoun), DET (determiner), and more. 3. Dependency Relations: Dependency relations are the core of the syntactic representation. They form a tree structure over the tokens in a sentence. Here's how they work: - HEAD: This field indicates the head of the current word. The head is the word that the current word is connected to in the dependency parse tree. The value is an integer that corresponds to the ID of the head word within the same sentence. A value of zero (0) indicates that the word is the root of the sentence. - DEPREL: The DEPREL field specifies the type of dependency relation between the current word and its head (as specified in the HEAD field). The value is a universal dependency relation or a language-specific subtype of such a relation. Note: Blank lines are used to mark the boundaries between sentences. Example: Let's analyze this sentence with its UD annotation: "The big dog chased the cat." 1. Tokenization: - The - big - dog - chased - the - cat - . 2. UPOS Tags: - The: DET - big: ADJ - dog: NOUN - chased: VERB - the: DET - cat: NOUN - .: PUNCT 3. Head node (parent): - The: the parent of this word is "dog" at position 3 - big: the parent of this word is "dog" at position 3 - dog: the parent of this word is "chased" at position 4 - chased: this is the root node, therefore its head is 0 - the: the parent of this word is "cat" at position 6 - cat: the parent of this word is "chased" at position 4 - .: the parent of this word is "chased" at position 4 3. Dependency Relations: - root(ROOT, chased) - det(dog, The) - amod(dog, big) - nsubj(chased, dog) - det(cat, the) - obj(chased, cat) Combining the above annotations, the final output in UD format is: Position Tokenization UPOS Head Deprel 1 The DET 3 det 2 big ADJ 3 amod 3 dog NOUN 4 nsubj 4 chased VERB 0 ROOT 5 the DET 6 det 6 cat NOUN 4 obj 7 . PUNCT 4 punct

Generate UD annotations for the following text: Часопіс выдаваўся ў Нямеччыне 1947–48 гадах.

Position Tokenization UPOS Head Deprel 1 Часопіс NOUN 2 nsubj 2 выдаваўся VERB 0 root 3 ў ADP 4 case 4 Нямеччыне PROPN 2 obl 5 1947 ADJ 8 amod 6 – PUNCT 5 punct 7 48 NUM 8 nummod 8 гадах NOUN 2 obl 9 . PUNCT 2 punct

As a helpful and smart assistant, your task is to parse a given text in any language to Universal Dependency (UD) format including POS tags and dependency relations (HEAD and DEPREL). Key Components of UD Annotation: 1. Tokens: The fundamental units within UD are tokens. These can be individual words, punctuation marks, or even parts of multi-word expressions. Each token has several associated attributes. 2. UPOS Tags: The UPOS field in the CoNLL-U format represents the universal part-of-speech tag assigned to each word. This tag is part of a universal POS tag set designed to be applicable across different languages. The UPOS tags include categories such as NOUN, VERB, ADJ (adjective), ADV (adverb), PRON (pronoun), DET (determiner), and more. 3. Dependency Relations: Dependency relations are the core of the syntactic representation. They form a tree structure over the tokens in a sentence. Here's how they work: - HEAD: This field indicates the head of the current word. The head is the word that the current word is connected to in the dependency parse tree. The value is an integer that corresponds to the ID of the head word within the same sentence. A value of zero (0) indicates that the word is the root of the sentence. - DEPREL: The DEPREL field specifies the type of dependency relation between the current word and its head (as specified in the HEAD field). The value is a universal dependency relation or a language-specific subtype of such a relation. Note: Blank lines are used to mark the boundaries between sentences. Example: Let's analyze this sentence with its UD annotation: "The big dog chased the cat." 1. Tokenization: - The - big - dog - chased - the - cat - . 2. UPOS Tags: - The: DET - big: ADJ - dog: NOUN - chased: VERB - the: DET - cat: NOUN - .: PUNCT 3. Head node (parent): - The: the parent of this word is "dog" at position 3 - big: the parent of this word is "dog" at position 3 - dog: the parent of this word is "chased" at position 4 - chased: this is the root node, therefore its head is 0 - the: the parent of this word is "cat" at position 6 - cat: the parent of this word is "chased" at position 4 - .: the parent of this word is "chased" at position 4 3. Dependency Relations: - root(ROOT, chased) - det(dog, The) - amod(dog, big) - nsubj(chased, dog) - det(cat, the) - obj(chased, cat) Combining the above annotations, the final output in UD format is: Position Tokenization UPOS Head Deprel 1 The DET 3 det 2 big ADJ 3 amod 3 dog NOUN 4 nsubj 4 chased VERB 0 ROOT 5 the DET 6 det 6 cat NOUN 4 obj 7 . PUNCT 4 punct

Generate UD annotations for the following text: Назва Менску паходзіць ад ракі Менкі, але месьціцца рака па-за межамі сучаснага Менску.

Position Tokenization UPOS Head Deprel 1 Назва NOUN 3 nsubj 2 Менску PROPN 1 nmod 3 паходзіць VERB 0 root 4 ад ADP 5 case 5 ракі NOUN 3 obl 6 Менкі PROPN 5 nmod 7 , PUNCT 9 punct 8 але CCONJ 9 cc 9 месьціцца VERB 3 conj 10 рака NOUN 9 nsubj 11 па-за ADP 12 case 12 межамі NOUN 10 nmod 13 сучаснага ADJ 14 amod 14 Менску PROPN 12 nmod 15 . PUNCT 3 punct

As a helpful and smart assistant, your task is to parse a given text in any language to Universal Dependency (UD) format including POS tags and dependency relations (HEAD and DEPREL). Key Components of UD Annotation: 1. Tokens: The fundamental units within UD are tokens. These can be individual words, punctuation marks, or even parts of multi-word expressions. Each token has several associated attributes. 2. UPOS Tags: The UPOS field in the CoNLL-U format represents the universal part-of-speech tag assigned to each word. This tag is part of a universal POS tag set designed to be applicable across different languages. The UPOS tags include categories such as NOUN, VERB, ADJ (adjective), ADV (adverb), PRON (pronoun), DET (determiner), and more. 3. Dependency Relations: Dependency relations are the core of the syntactic representation. They form a tree structure over the tokens in a sentence. Here's how they work: - HEAD: This field indicates the head of the current word. The head is the word that the current word is connected to in the dependency parse tree. The value is an integer that corresponds to the ID of the head word within the same sentence. A value of zero (0) indicates that the word is the root of the sentence. - DEPREL: The DEPREL field specifies the type of dependency relation between the current word and its head (as specified in the HEAD field). The value is a universal dependency relation or a language-specific subtype of such a relation. Note: Blank lines are used to mark the boundaries between sentences. Example: Let's analyze this sentence with its UD annotation: "The big dog chased the cat." 1. Tokenization: - The - big - dog - chased - the - cat - . 2. UPOS Tags: - The: DET - big: ADJ - dog: NOUN - chased: VERB - the: DET - cat: NOUN - .: PUNCT 3. Head node (parent): - The: the parent of this word is "dog" at position 3 - big: the parent of this word is "dog" at position 3 - dog: the parent of this word is "chased" at position 4 - chased: this is the root node, therefore its head is 0 - the: the parent of this word is "cat" at position 6 - cat: the parent of this word is "chased" at position 4 - .: the parent of this word is "chased" at position 4 3. Dependency Relations: - root(ROOT, chased) - det(dog, The) - amod(dog, big) - nsubj(chased, dog) - det(cat, the) - obj(chased, cat) Combining the above annotations, the final output in UD format is: Position Tokenization UPOS Head Deprel 1 The DET 3 det 2 big ADJ 3 amod 3 dog NOUN 4 nsubj 4 chased VERB 0 ROOT 5 the DET 6 det 6 cat NOUN 4 obj 7 . PUNCT 4 punct

Generate UD annotations for the following text: Цікавая гіпотэза якая можа адказаць, чаму так сталася

Position Tokenization UPOS Head Deprel 1 Цікавая ADJ 2 amod 2 гіпотэза NOUN 0 root 3 якая PRON 4 nsubj 4 можа VERB 2 acl:relcl 5 адказаць VERB 4 xcomp 6 , PUNCT 9 punct 7 чаму ADV 9 advmod 8 так ADV 9 advmod 9 сталася VERB 5 ccomp

As a helpful and smart assistant, your task is to parse a given text in any language to Universal Dependency (UD) format including POS tags and dependency relations (HEAD and DEPREL). Key Components of UD Annotation: 1. Tokens: The fundamental units within UD are tokens. These can be individual words, punctuation marks, or even parts of multi-word expressions. Each token has several associated attributes. 2. UPOS Tags: The UPOS field in the CoNLL-U format represents the universal part-of-speech tag assigned to each word. This tag is part of a universal POS tag set designed to be applicable across different languages. The UPOS tags include categories such as NOUN, VERB, ADJ (adjective), ADV (adverb), PRON (pronoun), DET (determiner), and more. 3. Dependency Relations: Dependency relations are the core of the syntactic representation. They form a tree structure over the tokens in a sentence. Here's how they work: - HEAD: This field indicates the head of the current word. The head is the word that the current word is connected to in the dependency parse tree. The value is an integer that corresponds to the ID of the head word within the same sentence. A value of zero (0) indicates that the word is the root of the sentence. - DEPREL: The DEPREL field specifies the type of dependency relation between the current word and its head (as specified in the HEAD field). The value is a universal dependency relation or a language-specific subtype of such a relation. Note: Blank lines are used to mark the boundaries between sentences. Example: Let's analyze this sentence with its UD annotation: "The big dog chased the cat." 1. Tokenization: - The - big - dog - chased - the - cat - . 2. UPOS Tags: - The: DET - big: ADJ - dog: NOUN - chased: VERB - the: DET - cat: NOUN - .: PUNCT 3. Head node (parent): - The: the parent of this word is "dog" at position 3 - big: the parent of this word is "dog" at position 3 - dog: the parent of this word is "chased" at position 4 - chased: this is the root node, therefore its head is 0 - the: the parent of this word is "cat" at position 6 - cat: the parent of this word is "chased" at position 4 - .: the parent of this word is "chased" at position 4 3. Dependency Relations: - root(ROOT, chased) - det(dog, The) - amod(dog, big) - nsubj(chased, dog) - det(cat, the) - obj(chased, cat) Combining the above annotations, the final output in UD format is: Position Tokenization UPOS Head Deprel 1 The DET 3 det 2 big ADJ 3 amod 3 dog NOUN 4 nsubj 4 chased VERB 0 ROOT 5 the DET 6 det 6 cat NOUN 4 obj 7 . PUNCT 4 punct

Generate UD annotations for the following text: Падлог (ці Падлога) – адзін з найстарэйшых раёнаў Віцебска, які размяшчаўся насупраць ратушы, паміж вуліцай Леніна і ракой Віцьбай.

Position Tokenization UPOS Head Deprel 1 Падлог PROPN 0 root 2 ( PUNCT 4 punct 3 ці CCONJ 4 cc 4 Падлога NOUN 1 parataxis 5 ) PUNCT 4 punct 6 – PUNCT 1 punct 7 адзін NUM 1 nummod 8 з ADP 10 case 9 найстарэйшых ADJ 10 amod 10 раёнаў NOUN 1 nmod 11 Віцебска PROPN 10 nmod 12 , PUNCT 14 punct 13 які PRON 14 nsubj 14 размяшчаўся VERB 10 acl:relcl 15 насупраць ADP 16 case 16 ратушы NOUN 14 obl 17 , PUNCT 19 punct 18 паміж ADP 19 case 19 вуліцай NOUN 16 conj 20 Леніна PROPN 19 nsubj 21 і CCONJ 22 cc 22 ракой NOUN 20 conj 23 Віцьбай PROPN 22 nmod 24 . PUNCT 1 punct

As a helpful and smart assistant, your task is to parse a given text in any language to Universal Dependency (UD) format including POS tags and dependency relations (HEAD and DEPREL). Key Components of UD Annotation: 1. Tokens: The fundamental units within UD are tokens. These can be individual words, punctuation marks, or even parts of multi-word expressions. Each token has several associated attributes. 2. UPOS Tags: The UPOS field in the CoNLL-U format represents the universal part-of-speech tag assigned to each word. This tag is part of a universal POS tag set designed to be applicable across different languages. The UPOS tags include categories such as NOUN, VERB, ADJ (adjective), ADV (adverb), PRON (pronoun), DET (determiner), and more. 3. Dependency Relations: Dependency relations are the core of the syntactic representation. They form a tree structure over the tokens in a sentence. Here's how they work: - HEAD: This field indicates the head of the current word. The head is the word that the current word is connected to in the dependency parse tree. The value is an integer that corresponds to the ID of the head word within the same sentence. A value of zero (0) indicates that the word is the root of the sentence. - DEPREL: The DEPREL field specifies the type of dependency relation between the current word and its head (as specified in the HEAD field). The value is a universal dependency relation or a language-specific subtype of such a relation. Note: Blank lines are used to mark the boundaries between sentences. Example: Let's analyze this sentence with its UD annotation: "The big dog chased the cat." 1. Tokenization: - The - big - dog - chased - the - cat - . 2. UPOS Tags: - The: DET - big: ADJ - dog: NOUN - chased: VERB - the: DET - cat: NOUN - .: PUNCT 3. Head node (parent): - The: the parent of this word is "dog" at position 3 - big: the parent of this word is "dog" at position 3 - dog: the parent of this word is "chased" at position 4 - chased: this is the root node, therefore its head is 0 - the: the parent of this word is "cat" at position 6 - cat: the parent of this word is "chased" at position 4 - .: the parent of this word is "chased" at position 4 3. Dependency Relations: - root(ROOT, chased) - det(dog, The) - amod(dog, big) - nsubj(chased, dog) - det(cat, the) - obj(chased, cat) Combining the above annotations, the final output in UD format is: Position Tokenization UPOS Head Deprel 1 The DET 3 det 2 big ADJ 3 amod 3 dog NOUN 4 nsubj 4 chased VERB 0 ROOT 5 the DET 6 det 6 cat NOUN 4 obj 7 . PUNCT 4 punct

Generate UD annotations for the following text: Ад гэтага раёна, які ўзнік яшчэ ў Сярэднявеччы, у нашы дні засталіся толькі тры дамы – будынкі №№ 33 і 35 на самай броўцы Віцьбы ля Кастрычніцкага моста, а таксама дом № 35а ў парку Фрунзэ.

Position Tokenization UPOS Head Deprel 1 Ад ADP 3 case 2 гэтага DET 3 det 3 раёна NOUN 14 obl 4 , PUNCT 6 punct 5 які PRON 6 nsubj 6 ўзнік VERB 3 acl:relcl 7 яшчэ ADV 6 advmod 8 ў ADP 9 case 9 Сярэднявеччы PROPN 6 obl 10 , PUNCT 3 punct 11 у ADP 13 case 12 нашы DET 13 det 13 дні NOUN 14 obl 14 засталіся VERB 0 root 15 толькі PART 17 advmod 16 тры NUM 17 nummod 17 дамы NOUN 14 nsubj 18 – PUNCT 19 punct 19 будынкі NOUN 17 appos 20 № SYM 12 dislocated 21 № SYM 22 compound 22 33 NUM 19 appos 23 і CCONJ 24 cc 24 35 NUM 22 conj 25 на ADP 27 case 26 самай ADJ 27 amod 27 броўцы NOUN 20 nmod 28 Віцьбы PROPN 27 nmod 29 ля ADP 31 case 30 Кастрычніцкага ADJ 31 amod 31 моста NOUN 27 nmod 32 , PUNCT 35 punct 33 а CCONJ 35 cc 34 таксама ADV 33 fixed 35 дом NOUN 17 conj 36 № SYM 35 parataxis 37 35а NUM 36 nummod 38 ў ADP 39 case 39 парку NOUN 36 nmod 40 Фрунзэ PROPN 39 nmod 41 . PUNCT 14 punct

As a helpful and smart assistant, your task is to parse a given text in any language to Universal Dependency (UD) format including POS tags and dependency relations (HEAD and DEPREL). Key Components of UD Annotation: 1. Tokens: The fundamental units within UD are tokens. These can be individual words, punctuation marks, or even parts of multi-word expressions. Each token has several associated attributes. 2. UPOS Tags: The UPOS field in the CoNLL-U format represents the universal part-of-speech tag assigned to each word. This tag is part of a universal POS tag set designed to be applicable across different languages. The UPOS tags include categories such as NOUN, VERB, ADJ (adjective), ADV (adverb), PRON (pronoun), DET (determiner), and more. 3. Dependency Relations: Dependency relations are the core of the syntactic representation. They form a tree structure over the tokens in a sentence. Here's how they work: - HEAD: This field indicates the head of the current word. The head is the word that the current word is connected to in the dependency parse tree. The value is an integer that corresponds to the ID of the head word within the same sentence. A value of zero (0) indicates that the word is the root of the sentence. - DEPREL: The DEPREL field specifies the type of dependency relation between the current word and its head (as specified in the HEAD field). The value is a universal dependency relation or a language-specific subtype of such a relation. Note: Blank lines are used to mark the boundaries between sentences. Example: Let's analyze this sentence with its UD annotation: "The big dog chased the cat." 1. Tokenization: - The - big - dog - chased - the - cat - . 2. UPOS Tags: - The: DET - big: ADJ - dog: NOUN - chased: VERB - the: DET - cat: NOUN - .: PUNCT 3. Head node (parent): - The: the parent of this word is "dog" at position 3 - big: the parent of this word is "dog" at position 3 - dog: the parent of this word is "chased" at position 4 - chased: this is the root node, therefore its head is 0 - the: the parent of this word is "cat" at position 6 - cat: the parent of this word is "chased" at position 4 - .: the parent of this word is "chased" at position 4 3. Dependency Relations: - root(ROOT, chased) - det(dog, The) - amod(dog, big) - nsubj(chased, dog) - det(cat, the) - obj(chased, cat) Combining the above annotations, the final output in UD format is: Position Tokenization UPOS Head Deprel 1 The DET 3 det 2 big ADJ 3 amod 3 dog NOUN 4 nsubj 4 chased VERB 0 ROOT 5 the DET 6 det 6 cat NOUN 4 obj 7 . PUNCT 4 punct

Generate UD annotations for the following text: На фота Падлог у 1946, 1972 і 2019 гадах. 😞

Position Tokenization UPOS Head Deprel 1 На ADP 2 case 2 фота NOUN 0 root 3 Падлог PROPN 2 nsubj 4 у ADP 10 case 5 1946 ADJ 10 amod 6 , PUNCT 7 punct 7 1972 ADJ 5 conj 8 і CCONJ 9 cc 9 2019 ADJ 5 conj 10 гадах NOUN 3 nmod 11 . PUNCT 2 punct 12 😞 SYM 2 parataxis

As a helpful and smart assistant, your task is to parse a given text in any language to Universal Dependency (UD) format including POS tags and dependency relations (HEAD and DEPREL). Key Components of UD Annotation: 1. Tokens: The fundamental units within UD are tokens. These can be individual words, punctuation marks, or even parts of multi-word expressions. Each token has several associated attributes. 2. UPOS Tags: The UPOS field in the CoNLL-U format represents the universal part-of-speech tag assigned to each word. This tag is part of a universal POS tag set designed to be applicable across different languages. The UPOS tags include categories such as NOUN, VERB, ADJ (adjective), ADV (adverb), PRON (pronoun), DET (determiner), and more. 3. Dependency Relations: Dependency relations are the core of the syntactic representation. They form a tree structure over the tokens in a sentence. Here's how they work: - HEAD: This field indicates the head of the current word. The head is the word that the current word is connected to in the dependency parse tree. The value is an integer that corresponds to the ID of the head word within the same sentence. A value of zero (0) indicates that the word is the root of the sentence. - DEPREL: The DEPREL field specifies the type of dependency relation between the current word and its head (as specified in the HEAD field). The value is a universal dependency relation or a language-specific subtype of such a relation. Note: Blank lines are used to mark the boundaries between sentences. Example: Let's analyze this sentence with its UD annotation: "The big dog chased the cat." 1. Tokenization: - The - big - dog - chased - the - cat - . 2. UPOS Tags: - The: DET - big: ADJ - dog: NOUN - chased: VERB - the: DET - cat: NOUN - .: PUNCT 3. Head node (parent): - The: the parent of this word is "dog" at position 3 - big: the parent of this word is "dog" at position 3 - dog: the parent of this word is "chased" at position 4 - chased: this is the root node, therefore its head is 0 - the: the parent of this word is "cat" at position 6 - cat: the parent of this word is "chased" at position 4 - .: the parent of this word is "chased" at position 4 3. Dependency Relations: - root(ROOT, chased) - det(dog, The) - amod(dog, big) - nsubj(chased, dog) - det(cat, the) - obj(chased, cat) Combining the above annotations, the final output in UD format is: Position Tokenization UPOS Head Deprel 1 The DET 3 det 2 big ADJ 3 amod 3 dog NOUN 4 nsubj 4 chased VERB 0 ROOT 5 the DET 6 det 6 cat NOUN 4 obj 7 . PUNCT 4 punct

Generate UD annotations for the following text: #Віцебск

Position Tokenization UPOS Head Deprel 1 #Віцебск X 0 root

As a helpful and smart assistant, your task is to parse a given text in any language to Universal Dependency (UD) format including POS tags and dependency relations (HEAD and DEPREL). Key Components of UD Annotation: 1. Tokens: The fundamental units within UD are tokens. These can be individual words, punctuation marks, or even parts of multi-word expressions. Each token has several associated attributes. 2. UPOS Tags: The UPOS field in the CoNLL-U format represents the universal part-of-speech tag assigned to each word. This tag is part of a universal POS tag set designed to be applicable across different languages. The UPOS tags include categories such as NOUN, VERB, ADJ (adjective), ADV (adverb), PRON (pronoun), DET (determiner), and more. 3. Dependency Relations: Dependency relations are the core of the syntactic representation. They form a tree structure over the tokens in a sentence. Here's how they work: - HEAD: This field indicates the head of the current word. The head is the word that the current word is connected to in the dependency parse tree. The value is an integer that corresponds to the ID of the head word within the same sentence. A value of zero (0) indicates that the word is the root of the sentence. - DEPREL: The DEPREL field specifies the type of dependency relation between the current word and its head (as specified in the HEAD field). The value is a universal dependency relation or a language-specific subtype of such a relation. Note: Blank lines are used to mark the boundaries between sentences. Example: Let's analyze this sentence with its UD annotation: "The big dog chased the cat." 1. Tokenization: - The - big - dog - chased - the - cat - . 2. UPOS Tags: - The: DET - big: ADJ - dog: NOUN - chased: VERB - the: DET - cat: NOUN - .: PUNCT 3. Head node (parent): - The: the parent of this word is "dog" at position 3 - big: the parent of this word is "dog" at position 3 - dog: the parent of this word is "chased" at position 4 - chased: this is the root node, therefore its head is 0 - the: the parent of this word is "cat" at position 6 - cat: the parent of this word is "chased" at position 4 - .: the parent of this word is "chased" at position 4 3. Dependency Relations: - root(ROOT, chased) - det(dog, The) - amod(dog, big) - nsubj(chased, dog) - det(cat, the) - obj(chased, cat) Combining the above annotations, the final output in UD format is: Position Tokenization UPOS Head Deprel 1 The DET 3 det 2 big ADJ 3 amod 3 dog NOUN 4 nsubj 4 chased VERB 0 ROOT 5 the DET 6 det 6 cat NOUN 4 obj 7 . PUNCT 4 punct

Generate UD annotations for the following text: #лікбез

Position Tokenization UPOS Head Deprel 1 #лікбез X 0 root

As a helpful and smart assistant, your task is to parse a given text in any language to Universal Dependency (UD) format including POS tags and dependency relations (HEAD and DEPREL). Key Components of UD Annotation: 1. Tokens: The fundamental units within UD are tokens. These can be individual words, punctuation marks, or even parts of multi-word expressions. Each token has several associated attributes. 2. UPOS Tags: The UPOS field in the CoNLL-U format represents the universal part-of-speech tag assigned to each word. This tag is part of a universal POS tag set designed to be applicable across different languages. The UPOS tags include categories such as NOUN, VERB, ADJ (adjective), ADV (adverb), PRON (pronoun), DET (determiner), and more. 3. Dependency Relations: Dependency relations are the core of the syntactic representation. They form a tree structure over the tokens in a sentence. Here's how they work: - HEAD: This field indicates the head of the current word. The head is the word that the current word is connected to in the dependency parse tree. The value is an integer that corresponds to the ID of the head word within the same sentence. A value of zero (0) indicates that the word is the root of the sentence. - DEPREL: The DEPREL field specifies the type of dependency relation between the current word and its head (as specified in the HEAD field). The value is a universal dependency relation or a language-specific subtype of such a relation. Note: Blank lines are used to mark the boundaries between sentences. Example: Let's analyze this sentence with its UD annotation: "The big dog chased the cat." 1. Tokenization: - The - big - dog - chased - the - cat - . 2. UPOS Tags: - The: DET - big: ADJ - dog: NOUN - chased: VERB - the: DET - cat: NOUN - .: PUNCT 3. Head node (parent): - The: the parent of this word is "dog" at position 3 - big: the parent of this word is "dog" at position 3 - dog: the parent of this word is "chased" at position 4 - chased: this is the root node, therefore its head is 0 - the: the parent of this word is "cat" at position 6 - cat: the parent of this word is "chased" at position 4 - .: the parent of this word is "chased" at position 4 3. Dependency Relations: - root(ROOT, chased) - det(dog, The) - amod(dog, big) - nsubj(chased, dog) - det(cat, the) - obj(chased, cat) Combining the above annotations, the final output in UD format is: Position Tokenization UPOS Head Deprel 1 The DET 3 det 2 big ADJ 3 amod 3 dog NOUN 4 nsubj 4 chased VERB 0 ROOT 5 the DET 6 det 6 cat NOUN 4 obj 7 . PUNCT 4 punct

Generate UD annotations for the following text: Чытво на выходныя - артыкул пра лёс высланых з БССР у 1930-я гады “кулакоў”:

Position Tokenization UPOS Head Deprel 1 Чытво NOUN 0 root 2 на ADP 3 case 3 выходныя ADJ 1 obl 4 - PUNCT 5 punct 5 артыкул NOUN 1 parataxis 6 пра ADP 7 case 7 лёс NOUN 5 nmod 8 высланых VERB 7 nmod 9 з ADP 10 case 10 БССР PROPN 8 obl 11 у ADP 13 case 12 1930-я ADJ 13 amod 13 гады NOUN 5 nmod 14 “ PUNCT 15 punct 15 кулакоў NOUN 13 conj 16 ” PUNCT 15 punct 17 : PUNCT 1 punct

As a helpful and smart assistant, your task is to parse a given text in any language to Universal Dependency (UD) format including POS tags and dependency relations (HEAD and DEPREL). Key Components of UD Annotation: 1. Tokens: The fundamental units within UD are tokens. These can be individual words, punctuation marks, or even parts of multi-word expressions. Each token has several associated attributes. 2. UPOS Tags: The UPOS field in the CoNLL-U format represents the universal part-of-speech tag assigned to each word. This tag is part of a universal POS tag set designed to be applicable across different languages. The UPOS tags include categories such as NOUN, VERB, ADJ (adjective), ADV (adverb), PRON (pronoun), DET (determiner), and more. 3. Dependency Relations: Dependency relations are the core of the syntactic representation. They form a tree structure over the tokens in a sentence. Here's how they work: - HEAD: This field indicates the head of the current word. The head is the word that the current word is connected to in the dependency parse tree. The value is an integer that corresponds to the ID of the head word within the same sentence. A value of zero (0) indicates that the word is the root of the sentence. - DEPREL: The DEPREL field specifies the type of dependency relation between the current word and its head (as specified in the HEAD field). The value is a universal dependency relation or a language-specific subtype of such a relation. Note: Blank lines are used to mark the boundaries between sentences. Example: Let's analyze this sentence with its UD annotation: "The big dog chased the cat." 1. Tokenization: - The - big - dog - chased - the - cat - . 2. UPOS Tags: - The: DET - big: ADJ - dog: NOUN - chased: VERB - the: DET - cat: NOUN - .: PUNCT 3. Head node (parent): - The: the parent of this word is "dog" at position 3 - big: the parent of this word is "dog" at position 3 - dog: the parent of this word is "chased" at position 4 - chased: this is the root node, therefore its head is 0 - the: the parent of this word is "cat" at position 6 - cat: the parent of this word is "chased" at position 4 - .: the parent of this word is "chased" at position 4 3. Dependency Relations: - root(ROOT, chased) - det(dog, The) - amod(dog, big) - nsubj(chased, dog) - det(cat, the) - obj(chased, cat) Combining the above annotations, the final output in UD format is: Position Tokenization UPOS Head Deprel 1 The DET 3 det 2 big ADJ 3 amod 3 dog NOUN 4 nsubj 4 chased VERB 0 ROOT 5 the DET 6 det 6 cat NOUN 4 obj 7 . PUNCT 4 punct

Generate UD annotations for the following text: #беларускаяработніца

Position Tokenization UPOS Head Deprel 1 #беларускаяработніца X 0 root

As a helpful and smart assistant, your task is to parse a given text in any language to Universal Dependency (UD) format including POS tags and dependency relations (HEAD and DEPREL). Key Components of UD Annotation: 1. Tokens: The fundamental units within UD are tokens. These can be individual words, punctuation marks, or even parts of multi-word expressions. Each token has several associated attributes. 2. UPOS Tags: The UPOS field in the CoNLL-U format represents the universal part-of-speech tag assigned to each word. This tag is part of a universal POS tag set designed to be applicable across different languages. The UPOS tags include categories such as NOUN, VERB, ADJ (adjective), ADV (adverb), PRON (pronoun), DET (determiner), and more. 3. Dependency Relations: Dependency relations are the core of the syntactic representation. They form a tree structure over the tokens in a sentence. Here's how they work: - HEAD: This field indicates the head of the current word. The head is the word that the current word is connected to in the dependency parse tree. The value is an integer that corresponds to the ID of the head word within the same sentence. A value of zero (0) indicates that the word is the root of the sentence. - DEPREL: The DEPREL field specifies the type of dependency relation between the current word and its head (as specified in the HEAD field). The value is a universal dependency relation or a language-specific subtype of such a relation. Note: Blank lines are used to mark the boundaries between sentences. Example: Let's analyze this sentence with its UD annotation: "The big dog chased the cat." 1. Tokenization: - The - big - dog - chased - the - cat - . 2. UPOS Tags: - The: DET - big: ADJ - dog: NOUN - chased: VERB - the: DET - cat: NOUN - .: PUNCT 3. Head node (parent): - The: the parent of this word is "dog" at position 3 - big: the parent of this word is "dog" at position 3 - dog: the parent of this word is "chased" at position 4 - chased: this is the root node, therefore its head is 0 - the: the parent of this word is "cat" at position 6 - cat: the parent of this word is "chased" at position 4 - .: the parent of this word is "chased" at position 4 3. Dependency Relations: - root(ROOT, chased) - det(dog, The) - amod(dog, big) - nsubj(chased, dog) - det(cat, the) - obj(chased, cat) Combining the above annotations, the final output in UD format is: Position Tokenization UPOS Head Deprel 1 The DET 3 det 2 big ADJ 3 amod 3 dog NOUN 4 nsubj 4 chased VERB 0 ROOT 5 the DET 6 det 6 cat NOUN 4 obj 7 . PUNCT 4 punct

Generate UD annotations for the following text: Савецкія ўяўленні пра сучасную жанчыну ўвасобленыя мастаком Змудзінскім на вокладцы часопіса "Беларуская работніца і сялянка" №5 1927 года.

Position Tokenization UPOS Head Deprel 1 Савецкія ADJ 2 amod 2 ўяўленні NOUN 0 root 3 пра ADP 5 case 4 сучасную ADJ 5 amod 5 жанчыну NOUN 2 nmod 6 ўвасобленыя VERB 2 acl 7 мастаком NOUN 6 obl 8 Змудзінскім PROPN 7 appos 9 на ADP 10 case 10 вокладцы NOUN 6 obl 11 часопіса NOUN 10 nmod 12 " PUNCT 6 punct 13 Беларуская ADJ 14 amod 14 работніца NOUN 5 appos 15 і CCONJ 16 cc 16 сялянка NOUN 14 conj 17 " PUNCT 18 punct 18 № SYM 16 parataxis 19 5 NUM 18 nummod 20 1927 ADJ 21 amod 21 года NOUN 18 nmod 22 . PUNCT 2 punct

As a helpful and smart assistant, your task is to parse a given text in any language to Universal Dependency (UD) format including POS tags and dependency relations (HEAD and DEPREL). Key Components of UD Annotation: 1. Tokens: The fundamental units within UD are tokens. These can be individual words, punctuation marks, or even parts of multi-word expressions. Each token has several associated attributes. 2. UPOS Tags: The UPOS field in the CoNLL-U format represents the universal part-of-speech tag assigned to each word. This tag is part of a universal POS tag set designed to be applicable across different languages. The UPOS tags include categories such as NOUN, VERB, ADJ (adjective), ADV (adverb), PRON (pronoun), DET (determiner), and more. 3. Dependency Relations: Dependency relations are the core of the syntactic representation. They form a tree structure over the tokens in a sentence. Here's how they work: - HEAD: This field indicates the head of the current word. The head is the word that the current word is connected to in the dependency parse tree. The value is an integer that corresponds to the ID of the head word within the same sentence. A value of zero (0) indicates that the word is the root of the sentence. - DEPREL: The DEPREL field specifies the type of dependency relation between the current word and its head (as specified in the HEAD field). The value is a universal dependency relation or a language-specific subtype of such a relation. Note: Blank lines are used to mark the boundaries between sentences. Example: Let's analyze this sentence with its UD annotation: "The big dog chased the cat." 1. Tokenization: - The - big - dog - chased - the - cat - . 2. UPOS Tags: - The: DET - big: ADJ - dog: NOUN - chased: VERB - the: DET - cat: NOUN - .: PUNCT 3. Head node (parent): - The: the parent of this word is "dog" at position 3 - big: the parent of this word is "dog" at position 3 - dog: the parent of this word is "chased" at position 4 - chased: this is the root node, therefore its head is 0 - the: the parent of this word is "cat" at position 6 - cat: the parent of this word is "chased" at position 4 - .: the parent of this word is "chased" at position 4 3. Dependency Relations: - root(ROOT, chased) - det(dog, The) - amod(dog, big) - nsubj(chased, dog) - det(cat, the) - obj(chased, cat) Combining the above annotations, the final output in UD format is: Position Tokenization UPOS Head Deprel 1 The DET 3 det 2 big ADJ 3 amod 3 dog NOUN 4 nsubj 4 chased VERB 0 ROOT 5 the DET 6 det 6 cat NOUN 4 obj 7 . PUNCT 4 punct

Generate UD annotations for the following text: Плошча Якуба Коласа 80-е

Position Tokenization UPOS Head Deprel 1 Плошча NOUN 4 nsubj 2 Якуба PROPN 1 nmod 3 Коласа PROPN 2 flat:name 4 80-е ADJ 0 root

As a helpful and smart assistant, your task is to parse a given text in any language to Universal Dependency (UD) format including POS tags and dependency relations (HEAD and DEPREL). Key Components of UD Annotation: 1. Tokens: The fundamental units within UD are tokens. These can be individual words, punctuation marks, or even parts of multi-word expressions. Each token has several associated attributes. 2. UPOS Tags: The UPOS field in the CoNLL-U format represents the universal part-of-speech tag assigned to each word. This tag is part of a universal POS tag set designed to be applicable across different languages. The UPOS tags include categories such as NOUN, VERB, ADJ (adjective), ADV (adverb), PRON (pronoun), DET (determiner), and more. 3. Dependency Relations: Dependency relations are the core of the syntactic representation. They form a tree structure over the tokens in a sentence. Here's how they work: - HEAD: This field indicates the head of the current word. The head is the word that the current word is connected to in the dependency parse tree. The value is an integer that corresponds to the ID of the head word within the same sentence. A value of zero (0) indicates that the word is the root of the sentence. - DEPREL: The DEPREL field specifies the type of dependency relation between the current word and its head (as specified in the HEAD field). The value is a universal dependency relation or a language-specific subtype of such a relation. Note: Blank lines are used to mark the boundaries between sentences. Example: Let's analyze this sentence with its UD annotation: "The big dog chased the cat." 1. Tokenization: - The - big - dog - chased - the - cat - . 2. UPOS Tags: - The: DET - big: ADJ - dog: NOUN - chased: VERB - the: DET - cat: NOUN - .: PUNCT 3. Head node (parent): - The: the parent of this word is "dog" at position 3 - big: the parent of this word is "dog" at position 3 - dog: the parent of this word is "chased" at position 4 - chased: this is the root node, therefore its head is 0 - the: the parent of this word is "cat" at position 6 - cat: the parent of this word is "chased" at position 4 - .: the parent of this word is "chased" at position 4 3. Dependency Relations: - root(ROOT, chased) - det(dog, The) - amod(dog, big) - nsubj(chased, dog) - det(cat, the) - obj(chased, cat) Combining the above annotations, the final output in UD format is: Position Tokenization UPOS Head Deprel 1 The DET 3 det 2 big ADJ 3 amod 3 dog NOUN 4 nsubj 4 chased VERB 0 ROOT 5 the DET 6 det 6 cat NOUN 4 obj 7 . PUNCT 4 punct

Generate UD annotations for the following text: #звязда

Position Tokenization UPOS Head Deprel 1 #звязда X 0 root

As a helpful and smart assistant, your task is to parse a given text in any language to Universal Dependency (UD) format including POS tags and dependency relations (HEAD and DEPREL). Key Components of UD Annotation: 1. Tokens: The fundamental units within UD are tokens. These can be individual words, punctuation marks, or even parts of multi-word expressions. Each token has several associated attributes. 2. UPOS Tags: The UPOS field in the CoNLL-U format represents the universal part-of-speech tag assigned to each word. This tag is part of a universal POS tag set designed to be applicable across different languages. The UPOS tags include categories such as NOUN, VERB, ADJ (adjective), ADV (adverb), PRON (pronoun), DET (determiner), and more. 3. Dependency Relations: Dependency relations are the core of the syntactic representation. They form a tree structure over the tokens in a sentence. Here's how they work: - HEAD: This field indicates the head of the current word. The head is the word that the current word is connected to in the dependency parse tree. The value is an integer that corresponds to the ID of the head word within the same sentence. A value of zero (0) indicates that the word is the root of the sentence. - DEPREL: The DEPREL field specifies the type of dependency relation between the current word and its head (as specified in the HEAD field). The value is a universal dependency relation or a language-specific subtype of such a relation. Note: Blank lines are used to mark the boundaries between sentences. Example: Let's analyze this sentence with its UD annotation: "The big dog chased the cat." 1. Tokenization: - The - big - dog - chased - the - cat - . 2. UPOS Tags: - The: DET - big: ADJ - dog: NOUN - chased: VERB - the: DET - cat: NOUN - .: PUNCT 3. Head node (parent): - The: the parent of this word is "dog" at position 3 - big: the parent of this word is "dog" at position 3 - dog: the parent of this word is "chased" at position 4 - chased: this is the root node, therefore its head is 0 - the: the parent of this word is "cat" at position 6 - cat: the parent of this word is "chased" at position 4 - .: the parent of this word is "chased" at position 4 3. Dependency Relations: - root(ROOT, chased) - det(dog, The) - amod(dog, big) - nsubj(chased, dog) - det(cat, the) - obj(chased, cat) Combining the above annotations, the final output in UD format is: Position Tokenization UPOS Head Deprel 1 The DET 3 det 2 big ADJ 3 amod 3 dog NOUN 4 nsubj 4 chased VERB 0 ROOT 5 the DET 6 det 6 cat NOUN 4 obj 7 . PUNCT 4 punct

Generate UD annotations for the following text: Адрукоўкі, памылкі і эпічная “Белолоруссия” - усё гэта знайшоў Вадзім Зелянкоў на старонках газеты “Звезда” ад 8 сакавіка 1923 года:

Position Tokenization UPOS Head Deprel 1 Адрукоўкі PROPN 0 root 2 , PUNCT 3 punct 3 памылкі NOUN 1 conj 4 і CCONJ 7 cc 5 эпічная ADJ 7 amod 6 “ PUNCT 5 punct 7 Белолоруссия PROPN 1 conj 8 ” PUNCT 7 punct 9 - PUNCT 12 punct 10 усё DET 11 det 11 гэта PRON 12 obj 12 знайшоў VERB 1 parataxis 13 Вадзім PROPN 12 nsubj 14 Зелянкоў PROPN 13 flat:name 15 на ADP 16 case 16 старонках NOUN 12 obl 17 газеты NOUN 16 nmod 18 “ PUNCT 19 punct 19 Звезда NOUN 17 conj 20 ” PUNCT 19 punct 21 ад ADP 22 case 22 8 ADJ 17 nmod 23 сакавіка NOUN 22 flat 24 1923 ADJ 25 amod 25 года NOUN 22 nmod 26 : PUNCT 1 punct

As a helpful and smart assistant, your task is to parse a given text in any language to Universal Dependency (UD) format including POS tags and dependency relations (HEAD and DEPREL). Key Components of UD Annotation: 1. Tokens: The fundamental units within UD are tokens. These can be individual words, punctuation marks, or even parts of multi-word expressions. Each token has several associated attributes. 2. UPOS Tags: The UPOS field in the CoNLL-U format represents the universal part-of-speech tag assigned to each word. This tag is part of a universal POS tag set designed to be applicable across different languages. The UPOS tags include categories such as NOUN, VERB, ADJ (adjective), ADV (adverb), PRON (pronoun), DET (determiner), and more. 3. Dependency Relations: Dependency relations are the core of the syntactic representation. They form a tree structure over the tokens in a sentence. Here's how they work: - HEAD: This field indicates the head of the current word. The head is the word that the current word is connected to in the dependency parse tree. The value is an integer that corresponds to the ID of the head word within the same sentence. A value of zero (0) indicates that the word is the root of the sentence. - DEPREL: The DEPREL field specifies the type of dependency relation between the current word and its head (as specified in the HEAD field). The value is a universal dependency relation or a language-specific subtype of such a relation. Note: Blank lines are used to mark the boundaries between sentences. Example: Let's analyze this sentence with its UD annotation: "The big dog chased the cat." 1. Tokenization: - The - big - dog - chased - the - cat - . 2. UPOS Tags: - The: DET - big: ADJ - dog: NOUN - chased: VERB - the: DET - cat: NOUN - .: PUNCT 3. Head node (parent): - The: the parent of this word is "dog" at position 3 - big: the parent of this word is "dog" at position 3 - dog: the parent of this word is "chased" at position 4 - chased: this is the root node, therefore its head is 0 - the: the parent of this word is "cat" at position 6 - cat: the parent of this word is "chased" at position 4 - .: the parent of this word is "chased" at position 4 3. Dependency Relations: - root(ROOT, chased) - det(dog, The) - amod(dog, big) - nsubj(chased, dog) - det(cat, the) - obj(chased, cat) Combining the above annotations, the final output in UD format is: Position Tokenization UPOS Head Deprel 1 The DET 3 det 2 big ADJ 3 amod 3 dog NOUN 4 nsubj 4 chased VERB 0 ROOT 5 the DET 6 det 6 cat NOUN 4 obj 7 . PUNCT 4 punct

Generate UD annotations for the following text: Былі часы з такім “шырокім асартымэнтам” абутку ў БССР (як і ўва ўсім СССР), а збольшага такі від мелі многія крамы ў 80-90-е годы.

Position Tokenization UPOS Head Deprel 1 Былі VERB 0 root 2 часы NOUN 1 obj 3 з ADP 7 case 4 такім DET 7 det 5 “ PUNCT 4 punct 6 шырокім ADJ 7 amod 7 асартымэнтам NOUN 1 obl 8 ” PUNCT 9 punct 9 абутку NOUN 7 conj 10 ў ADP 11 case 11 БССР PROPN 9 nmod 12 ( PUNCT 13 punct 13 як SCONJ 11 parataxis 14 і CCONJ 17 cc 15 ўва ADP 17 case 16 ўсім DET 17 det 17 СССР PROPN 13 conj 18 ) PUNCT 13 punct 19 , PUNCT 24 punct 20 а CCONJ 24 cc 21 збольшага ADV 24 advmod 22 такі DET 23 det 23 від NOUN 24 obj 24 мелі VERB 1 conj 25 многія ADJ 26 amod 26 крамы NOUN 24 nsubj 27 ў ADP 29 case 28 80-90-е ADJ 29 amod 29 годы NOUN 26 nmod 30 . PUNCT 1 punct

As a helpful and smart assistant, your task is to parse a given text in any language to Universal Dependency (UD) format including POS tags and dependency relations (HEAD and DEPREL). Key Components of UD Annotation: 1. Tokens: The fundamental units within UD are tokens. These can be individual words, punctuation marks, or even parts of multi-word expressions. Each token has several associated attributes. 2. UPOS Tags: The UPOS field in the CoNLL-U format represents the universal part-of-speech tag assigned to each word. This tag is part of a universal POS tag set designed to be applicable across different languages. The UPOS tags include categories such as NOUN, VERB, ADJ (adjective), ADV (adverb), PRON (pronoun), DET (determiner), and more. 3. Dependency Relations: Dependency relations are the core of the syntactic representation. They form a tree structure over the tokens in a sentence. Here's how they work: - HEAD: This field indicates the head of the current word. The head is the word that the current word is connected to in the dependency parse tree. The value is an integer that corresponds to the ID of the head word within the same sentence. A value of zero (0) indicates that the word is the root of the sentence. - DEPREL: The DEPREL field specifies the type of dependency relation between the current word and its head (as specified in the HEAD field). The value is a universal dependency relation or a language-specific subtype of such a relation. Note: Blank lines are used to mark the boundaries between sentences. Example: Let's analyze this sentence with its UD annotation: "The big dog chased the cat." 1. Tokenization: - The - big - dog - chased - the - cat - . 2. UPOS Tags: - The: DET - big: ADJ - dog: NOUN - chased: VERB - the: DET - cat: NOUN - .: PUNCT 3. Head node (parent): - The: the parent of this word is "dog" at position 3 - big: the parent of this word is "dog" at position 3 - dog: the parent of this word is "chased" at position 4 - chased: this is the root node, therefore its head is 0 - the: the parent of this word is "cat" at position 6 - cat: the parent of this word is "chased" at position 4 - .: the parent of this word is "chased" at position 4 3. Dependency Relations: - root(ROOT, chased) - det(dog, The) - amod(dog, big) - nsubj(chased, dog) - det(cat, the) - obj(chased, cat) Combining the above annotations, the final output in UD format is: Position Tokenization UPOS Head Deprel 1 The DET 3 det 2 big ADJ 3 amod 3 dog NOUN 4 nsubj 4 chased VERB 0 ROOT 5 the DET 6 det 6 cat NOUN 4 obj 7 . PUNCT 4 punct

Generate UD annotations for the following text: Новыя знаходкі з пахавальні касьцёлу Божага Цела адкрылі раней невядомыя факты пра некаторых прадстаўнікоў Радзівілаў — аднаго з самых уплывовых радоў ВКЛ

Position Tokenization UPOS Head Deprel 1 Новыя ADJ 2 amod 2 знаходкі NOUN 8 nsubj 3 з ADP 4 case 4 пахавальні NOUN 2 nmod 5 касьцёлу NOUN 4 nmod 6 Божага ADJ 7 amod 7 Цела NOUN 5 nmod 8 адкрылі VERB 0 root 9 раней ADV 8 advmod 10 невядомыя ADJ 11 amod 11 факты NOUN 9 obj 12 пра ADP 14 case 13 некаторых DET 14 det 14 прадстаўнікоў NOUN 11 nmod 15 Радзівілаў PROPN 14 nmod 16 — PUNCT 17 punct 17 аднаго NUM 14 nummod 18 з ADP 21 case 19 самых ADJ 20 amod 20 уплывовых ADJ 21 amod 21 радоў NOUN 17 nmod 22 ВКЛ PROPN 8 obl

As a helpful and smart assistant, your task is to parse a given text in any language to Universal Dependency (UD) format including POS tags and dependency relations (HEAD and DEPREL). Key Components of UD Annotation: 1. Tokens: The fundamental units within UD are tokens. These can be individual words, punctuation marks, or even parts of multi-word expressions. Each token has several associated attributes. 2. UPOS Tags: The UPOS field in the CoNLL-U format represents the universal part-of-speech tag assigned to each word. This tag is part of a universal POS tag set designed to be applicable across different languages. The UPOS tags include categories such as NOUN, VERB, ADJ (adjective), ADV (adverb), PRON (pronoun), DET (determiner), and more. 3. Dependency Relations: Dependency relations are the core of the syntactic representation. They form a tree structure over the tokens in a sentence. Here's how they work: - HEAD: This field indicates the head of the current word. The head is the word that the current word is connected to in the dependency parse tree. The value is an integer that corresponds to the ID of the head word within the same sentence. A value of zero (0) indicates that the word is the root of the sentence. - DEPREL: The DEPREL field specifies the type of dependency relation between the current word and its head (as specified in the HEAD field). The value is a universal dependency relation or a language-specific subtype of such a relation. Note: Blank lines are used to mark the boundaries between sentences. Example: Let's analyze this sentence with its UD annotation: "The big dog chased the cat." 1. Tokenization: - The - big - dog - chased - the - cat - . 2. UPOS Tags: - The: DET - big: ADJ - dog: NOUN - chased: VERB - the: DET - cat: NOUN - .: PUNCT 3. Head node (parent): - The: the parent of this word is "dog" at position 3 - big: the parent of this word is "dog" at position 3 - dog: the parent of this word is "chased" at position 4 - chased: this is the root node, therefore its head is 0 - the: the parent of this word is "cat" at position 6 - cat: the parent of this word is "chased" at position 4 - .: the parent of this word is "chased" at position 4 3. Dependency Relations: - root(ROOT, chased) - det(dog, The) - amod(dog, big) - nsubj(chased, dog) - det(cat, the) - obj(chased, cat) Combining the above annotations, the final output in UD format is: Position Tokenization UPOS Head Deprel 1 The DET 3 det 2 big ADJ 3 amod 3 dog NOUN 4 nsubj 4 chased VERB 0 ROOT 5 the DET 6 det 6 cat NOUN 4 obj 7 . PUNCT 4 punct

Generate UD annotations for the following text: <em>(На фота генэалёгія Радзівілаў, 1699 г.)</em>

Position Tokenization UPOS Head Deprel 1 <em> SYM 4 dep 2 ( PUNCT 4 punct 3 На ADP 4 case 4 фота NOUN 0 root 5 генэалёгія NOUN 4 nsubj 6 Радзівілаў PROPN 5 nmod 7 , PUNCT 9 punct 8 1699 NUM 9 nummod 9 г. NOUN 5 conj 10 ) PUNCT 4 punct 11 </em> SYM 4 dep

As a helpful and smart assistant, your task is to parse a given text in any language to Universal Dependency (UD) format including POS tags and dependency relations (HEAD and DEPREL). Key Components of UD Annotation: 1. Tokens: The fundamental units within UD are tokens. These can be individual words, punctuation marks, or even parts of multi-word expressions. Each token has several associated attributes. 2. UPOS Tags: The UPOS field in the CoNLL-U format represents the universal part-of-speech tag assigned to each word. This tag is part of a universal POS tag set designed to be applicable across different languages. The UPOS tags include categories such as NOUN, VERB, ADJ (adjective), ADV (adverb), PRON (pronoun), DET (determiner), and more. 3. Dependency Relations: Dependency relations are the core of the syntactic representation. They form a tree structure over the tokens in a sentence. Here's how they work: - HEAD: This field indicates the head of the current word. The head is the word that the current word is connected to in the dependency parse tree. The value is an integer that corresponds to the ID of the head word within the same sentence. A value of zero (0) indicates that the word is the root of the sentence. - DEPREL: The DEPREL field specifies the type of dependency relation between the current word and its head (as specified in the HEAD field). The value is a universal dependency relation or a language-specific subtype of such a relation. Note: Blank lines are used to mark the boundaries between sentences. Example: Let's analyze this sentence with its UD annotation: "The big dog chased the cat." 1. Tokenization: - The - big - dog - chased - the - cat - . 2. UPOS Tags: - The: DET - big: ADJ - dog: NOUN - chased: VERB - the: DET - cat: NOUN - .: PUNCT 3. Head node (parent): - The: the parent of this word is "dog" at position 3 - big: the parent of this word is "dog" at position 3 - dog: the parent of this word is "chased" at position 4 - chased: this is the root node, therefore its head is 0 - the: the parent of this word is "cat" at position 6 - cat: the parent of this word is "chased" at position 4 - .: the parent of this word is "chased" at position 4 3. Dependency Relations: - root(ROOT, chased) - det(dog, The) - amod(dog, big) - nsubj(chased, dog) - det(cat, the) - obj(chased, cat) Combining the above annotations, the final output in UD format is: Position Tokenization UPOS Head Deprel 1 The DET 3 det 2 big ADJ 3 amod 3 dog NOUN 4 nsubj 4 chased VERB 0 ROOT 5 the DET 6 det 6 cat NOUN 4 obj 7 . PUNCT 4 punct

Generate UD annotations for the following text: 📆9 сакавіка 1918 года Выканаўчы Камітэт Першага Ўcебеларускага Зьезду прыняў <a href="http://www.radabnr.org/?page_id=136">Другую Устаўную Грамату</a> да народаў Беларусі.

Position Tokenization UPOS Head Deprel 1 📆9 ADJ 2 amod 2 сакавіка NOUN 10 obl 3 1918 ADJ 4 amod 4 года NOUN 2 nmod 5 Выканаўчы ADJ 6 amod 6 Камітэт NOUN 10 nsubj 7 Першага ADJ 9 amod 8 Ўcебеларускага ADJ 9 amod 9 Зьезду NOUN 6 nmod 10 прыняў VERB 0 root 11 < SYM 10 dep 12 a X 11 flat:foreign 13 href= X 11 appos 14 " PUNCT 13 punct 15 http://www.radabnr.org/?page_id=136 X 13 appos 16 " PUNCT 15 punct 17 > SYM 15 parataxis 18 Другую ADJ 20 amod 19 Устаўную ADJ 20 amod 20 Грамату NOUN 17 obj 21 </a> SYM 20 dep 22 да ADP 23 case 23 народаў NOUN 21 nmod 24 Беларусі PROPN 23 nmod 25 . PUNCT 10 punct

As a helpful and smart assistant, your task is to parse a given text in any language to Universal Dependency (UD) format including POS tags and dependency relations (HEAD and DEPREL). Key Components of UD Annotation: 1. Tokens: The fundamental units within UD are tokens. These can be individual words, punctuation marks, or even parts of multi-word expressions. Each token has several associated attributes. 2. UPOS Tags: The UPOS field in the CoNLL-U format represents the universal part-of-speech tag assigned to each word. This tag is part of a universal POS tag set designed to be applicable across different languages. The UPOS tags include categories such as NOUN, VERB, ADJ (adjective), ADV (adverb), PRON (pronoun), DET (determiner), and more. 3. Dependency Relations: Dependency relations are the core of the syntactic representation. They form a tree structure over the tokens in a sentence. Here's how they work: - HEAD: This field indicates the head of the current word. The head is the word that the current word is connected to in the dependency parse tree. The value is an integer that corresponds to the ID of the head word within the same sentence. A value of zero (0) indicates that the word is the root of the sentence. - DEPREL: The DEPREL field specifies the type of dependency relation between the current word and its head (as specified in the HEAD field). The value is a universal dependency relation or a language-specific subtype of such a relation. Note: Blank lines are used to mark the boundaries between sentences. Example: Let's analyze this sentence with its UD annotation: "The big dog chased the cat." 1. Tokenization: - The - big - dog - chased - the - cat - . 2. UPOS Tags: - The: DET - big: ADJ - dog: NOUN - chased: VERB - the: DET - cat: NOUN - .: PUNCT 3. Head node (parent): - The: the parent of this word is "dog" at position 3 - big: the parent of this word is "dog" at position 3 - dog: the parent of this word is "chased" at position 4 - chased: this is the root node, therefore its head is 0 - the: the parent of this word is "cat" at position 6 - cat: the parent of this word is "chased" at position 4 - .: the parent of this word is "chased" at position 4 3. Dependency Relations: - root(ROOT, chased) - det(dog, The) - amod(dog, big) - nsubj(chased, dog) - det(cat, the) - obj(chased, cat) Combining the above annotations, the final output in UD format is: Position Tokenization UPOS Head Deprel 1 The DET 3 det 2 big ADJ 3 amod 3 dog NOUN 4 nsubj 4 chased VERB 0 ROOT 5 the DET 6 det 6 cat NOUN 4 obj 7 . PUNCT 4 punct

Generate UD annotations for the following text: ✔️Беларусь абвяшчалася Народнай рэспублікай,

Position Tokenization UPOS Head Deprel 1 ✔️Беларусь PROPN 2 nsubj 2 абвяшчалася VERB 0 root 3 Народнай ADJ 4 amod 4 рэспублікай NOUN 2 obl 5 , PUNCT 2 punct

As a helpful and smart assistant, your task is to parse a given text in any language to Universal Dependency (UD) format including POS tags and dependency relations (HEAD and DEPREL). Key Components of UD Annotation: 1. Tokens: The fundamental units within UD are tokens. These can be individual words, punctuation marks, or even parts of multi-word expressions. Each token has several associated attributes. 2. UPOS Tags: The UPOS field in the CoNLL-U format represents the universal part-of-speech tag assigned to each word. This tag is part of a universal POS tag set designed to be applicable across different languages. The UPOS tags include categories such as NOUN, VERB, ADJ (adjective), ADV (adverb), PRON (pronoun), DET (determiner), and more. 3. Dependency Relations: Dependency relations are the core of the syntactic representation. They form a tree structure over the tokens in a sentence. Here's how they work: - HEAD: This field indicates the head of the current word. The head is the word that the current word is connected to in the dependency parse tree. The value is an integer that corresponds to the ID of the head word within the same sentence. A value of zero (0) indicates that the word is the root of the sentence. - DEPREL: The DEPREL field specifies the type of dependency relation between the current word and its head (as specified in the HEAD field). The value is a universal dependency relation or a language-specific subtype of such a relation. Note: Blank lines are used to mark the boundaries between sentences. Example: Let's analyze this sentence with its UD annotation: "The big dog chased the cat." 1. Tokenization: - The - big - dog - chased - the - cat - . 2. UPOS Tags: - The: DET - big: ADJ - dog: NOUN - chased: VERB - the: DET - cat: NOUN - .: PUNCT 3. Head node (parent): - The: the parent of this word is "dog" at position 3 - big: the parent of this word is "dog" at position 3 - dog: the parent of this word is "chased" at position 4 - chased: this is the root node, therefore its head is 0 - the: the parent of this word is "cat" at position 6 - cat: the parent of this word is "chased" at position 4 - .: the parent of this word is "chased" at position 4 3. Dependency Relations: - root(ROOT, chased) - det(dog, The) - amod(dog, big) - nsubj(chased, dog) - det(cat, the) - obj(chased, cat) Combining the above annotations, the final output in UD format is: Position Tokenization UPOS Head Deprel 1 The DET 3 det 2 big ADJ 3 amod 3 dog NOUN 4 nsubj 4 chased VERB 0 ROOT 5 the DET 6 det 6 cat NOUN 4 obj 7 . PUNCT 4 punct

Generate UD annotations for the following text: ✔️жыхарам БНР гарантуюцца асноўныя правы чалавека.

Position Tokenization UPOS Head Deprel 1 ✔️жыхарам NOUN 3 iobj 2 БНР PROPN 1 appos 3 гарантуюцца VERB 0 root 4 асноўныя ADJ 5 amod 5 правы NOUN 3 nsubj 6 чалавека NOUN 5 nmod 7 . PUNCT 3 punct

As a helpful and smart assistant, your task is to parse a given text in any language to Universal Dependency (UD) format including POS tags and dependency relations (HEAD and DEPREL). Key Components of UD Annotation: 1. Tokens: The fundamental units within UD are tokens. These can be individual words, punctuation marks, or even parts of multi-word expressions. Each token has several associated attributes. 2. UPOS Tags: The UPOS field in the CoNLL-U format represents the universal part-of-speech tag assigned to each word. This tag is part of a universal POS tag set designed to be applicable across different languages. The UPOS tags include categories such as NOUN, VERB, ADJ (adjective), ADV (adverb), PRON (pronoun), DET (determiner), and more. 3. Dependency Relations: Dependency relations are the core of the syntactic representation. They form a tree structure over the tokens in a sentence. Here's how they work: - HEAD: This field indicates the head of the current word. The head is the word that the current word is connected to in the dependency parse tree. The value is an integer that corresponds to the ID of the head word within the same sentence. A value of zero (0) indicates that the word is the root of the sentence. - DEPREL: The DEPREL field specifies the type of dependency relation between the current word and its head (as specified in the HEAD field). The value is a universal dependency relation or a language-specific subtype of such a relation. Note: Blank lines are used to mark the boundaries between sentences. Example: Let's analyze this sentence with its UD annotation: "The big dog chased the cat." 1. Tokenization: - The - big - dog - chased - the - cat - . 2. UPOS Tags: - The: DET - big: ADJ - dog: NOUN - chased: VERB - the: DET - cat: NOUN - .: PUNCT 3. Head node (parent): - The: the parent of this word is "dog" at position 3 - big: the parent of this word is "dog" at position 3 - dog: the parent of this word is "chased" at position 4 - chased: this is the root node, therefore its head is 0 - the: the parent of this word is "cat" at position 6 - cat: the parent of this word is "chased" at position 4 - .: the parent of this word is "chased" at position 4 3. Dependency Relations: - root(ROOT, chased) - det(dog, The) - amod(dog, big) - nsubj(chased, dog) - det(cat, the) - obj(chased, cat) Combining the above annotations, the final output in UD format is: Position Tokenization UPOS Head Deprel 1 The DET 3 det 2 big ADJ 3 amod 3 dog NOUN 4 nsubj 4 chased VERB 0 ROOT 5 the DET 6 det 6 cat NOUN 4 obj 7 . PUNCT 4 punct

Generate UD annotations for the following text: 📷”Закочваньне” ў асфальт...

Position Tokenization UPOS Head Deprel 1 📷”Закочваньне NOUN 0 root 2 ” PUNCT 1 punct 3 ў ADP 4 case 4 асфальт NOUN 1 nmod 5 ... PUNCT 1 punct

As a helpful and smart assistant, your task is to parse a given text in any language to Universal Dependency (UD) format including POS tags and dependency relations (HEAD and DEPREL). Key Components of UD Annotation: 1. Tokens: The fundamental units within UD are tokens. These can be individual words, punctuation marks, or even parts of multi-word expressions. Each token has several associated attributes. 2. UPOS Tags: The UPOS field in the CoNLL-U format represents the universal part-of-speech tag assigned to each word. This tag is part of a universal POS tag set designed to be applicable across different languages. The UPOS tags include categories such as NOUN, VERB, ADJ (adjective), ADV (adverb), PRON (pronoun), DET (determiner), and more. 3. Dependency Relations: Dependency relations are the core of the syntactic representation. They form a tree structure over the tokens in a sentence. Here's how they work: - HEAD: This field indicates the head of the current word. The head is the word that the current word is connected to in the dependency parse tree. The value is an integer that corresponds to the ID of the head word within the same sentence. A value of zero (0) indicates that the word is the root of the sentence. - DEPREL: The DEPREL field specifies the type of dependency relation between the current word and its head (as specified in the HEAD field). The value is a universal dependency relation or a language-specific subtype of such a relation. Note: Blank lines are used to mark the boundaries between sentences. Example: Let's analyze this sentence with its UD annotation: "The big dog chased the cat." 1. Tokenization: - The - big - dog - chased - the - cat - . 2. UPOS Tags: - The: DET - big: ADJ - dog: NOUN - chased: VERB - the: DET - cat: NOUN - .: PUNCT 3. Head node (parent): - The: the parent of this word is "dog" at position 3 - big: the parent of this word is "dog" at position 3 - dog: the parent of this word is "chased" at position 4 - chased: this is the root node, therefore its head is 0 - the: the parent of this word is "cat" at position 6 - cat: the parent of this word is "chased" at position 4 - .: the parent of this word is "chased" at position 4 3. Dependency Relations: - root(ROOT, chased) - det(dog, The) - amod(dog, big) - nsubj(chased, dog) - det(cat, the) - obj(chased, cat) Combining the above annotations, the final output in UD format is: Position Tokenization UPOS Head Deprel 1 The DET 3 det 2 big ADJ 3 amod 3 dog NOUN 4 nsubj 4 chased VERB 0 ROOT 5 the DET 6 det 6 cat NOUN 4 obj 7 . PUNCT 4 punct

Generate UD annotations for the following text: Скрыжываньне сучасных вуліц Энгельса й Маркса.

Position Tokenization UPOS Head Deprel 1 Скрыжываньне NOUN 0 root 2 сучасных ADJ 3 amod 3 вуліц NOUN 1 nmod 4 Энгельса PROPN 3 nmod 5 й CCONJ 6 cc 6 Маркса PROPN 4 conj 7 . PUNCT 1 punct

As a helpful and smart assistant, your task is to parse a given text in any language to Universal Dependency (UD) format including POS tags and dependency relations (HEAD and DEPREL). Key Components of UD Annotation: 1. Tokens: The fundamental units within UD are tokens. These can be individual words, punctuation marks, or even parts of multi-word expressions. Each token has several associated attributes. 2. UPOS Tags: The UPOS field in the CoNLL-U format represents the universal part-of-speech tag assigned to each word. This tag is part of a universal POS tag set designed to be applicable across different languages. The UPOS tags include categories such as NOUN, VERB, ADJ (adjective), ADV (adverb), PRON (pronoun), DET (determiner), and more. 3. Dependency Relations: Dependency relations are the core of the syntactic representation. They form a tree structure over the tokens in a sentence. Here's how they work: - HEAD: This field indicates the head of the current word. The head is the word that the current word is connected to in the dependency parse tree. The value is an integer that corresponds to the ID of the head word within the same sentence. A value of zero (0) indicates that the word is the root of the sentence. - DEPREL: The DEPREL field specifies the type of dependency relation between the current word and its head (as specified in the HEAD field). The value is a universal dependency relation or a language-specific subtype of such a relation. Note: Blank lines are used to mark the boundaries between sentences. Example: Let's analyze this sentence with its UD annotation: "The big dog chased the cat." 1. Tokenization: - The - big - dog - chased - the - cat - . 2. UPOS Tags: - The: DET - big: ADJ - dog: NOUN - chased: VERB - the: DET - cat: NOUN - .: PUNCT 3. Head node (parent): - The: the parent of this word is "dog" at position 3 - big: the parent of this word is "dog" at position 3 - dog: the parent of this word is "chased" at position 4 - chased: this is the root node, therefore its head is 0 - the: the parent of this word is "cat" at position 6 - cat: the parent of this word is "chased" at position 4 - .: the parent of this word is "chased" at position 4 3. Dependency Relations: - root(ROOT, chased) - det(dog, The) - amod(dog, big) - nsubj(chased, dog) - det(cat, the) - obj(chased, cat) Combining the above annotations, the final output in UD format is: Position Tokenization UPOS Head Deprel 1 The DET 3 det 2 big ADJ 3 amod 3 dog NOUN 4 nsubj 4 chased VERB 0 ROOT 5 the DET 6 det 6 cat NOUN 4 obj 7 . PUNCT 4 punct

Generate UD annotations for the following text: Справа Купалаўскі тэатар.

Position Tokenization UPOS Head Deprel 1 Справа ADV 0 root 2 Купалаўскі ADJ 3 amod 3 тэатар NOUN 1 nsubj 4 . PUNCT 1 punct

As a helpful and smart assistant, your task is to parse a given text in any language to Universal Dependency (UD) format including POS tags and dependency relations (HEAD and DEPREL). Key Components of UD Annotation: 1. Tokens: The fundamental units within UD are tokens. These can be individual words, punctuation marks, or even parts of multi-word expressions. Each token has several associated attributes. 2. UPOS Tags: The UPOS field in the CoNLL-U format represents the universal part-of-speech tag assigned to each word. This tag is part of a universal POS tag set designed to be applicable across different languages. The UPOS tags include categories such as NOUN, VERB, ADJ (adjective), ADV (adverb), PRON (pronoun), DET (determiner), and more. 3. Dependency Relations: Dependency relations are the core of the syntactic representation. They form a tree structure over the tokens in a sentence. Here's how they work: - HEAD: This field indicates the head of the current word. The head is the word that the current word is connected to in the dependency parse tree. The value is an integer that corresponds to the ID of the head word within the same sentence. A value of zero (0) indicates that the word is the root of the sentence. - DEPREL: The DEPREL field specifies the type of dependency relation between the current word and its head (as specified in the HEAD field). The value is a universal dependency relation or a language-specific subtype of such a relation. Note: Blank lines are used to mark the boundaries between sentences. Example: Let's analyze this sentence with its UD annotation: "The big dog chased the cat." 1. Tokenization: - The - big - dog - chased - the - cat - . 2. UPOS Tags: - The: DET - big: ADJ - dog: NOUN - chased: VERB - the: DET - cat: NOUN - .: PUNCT 3. Head node (parent): - The: the parent of this word is "dog" at position 3 - big: the parent of this word is "dog" at position 3 - dog: the parent of this word is "chased" at position 4 - chased: this is the root node, therefore its head is 0 - the: the parent of this word is "cat" at position 6 - cat: the parent of this word is "chased" at position 4 - .: the parent of this word is "chased" at position 4 3. Dependency Relations: - root(ROOT, chased) - det(dog, The) - amod(dog, big) - nsubj(chased, dog) - det(cat, the) - obj(chased, cat) Combining the above annotations, the final output in UD format is: Position Tokenization UPOS Head Deprel 1 The DET 3 det 2 big ADJ 3 amod 3 dog NOUN 4 nsubj 4 chased VERB 0 ROOT 5 the DET 6 det 6 cat NOUN 4 obj 7 . PUNCT 4 punct

Generate UD annotations for the following text: 1930-я гг.

Position Tokenization UPOS Head Deprel 1 1930-я ADJ 2 amod 2 гг. NOUN 0 root

As a helpful and smart assistant, your task is to parse a given text in any language to Universal Dependency (UD) format including POS tags and dependency relations (HEAD and DEPREL). Key Components of UD Annotation: 1. Tokens: The fundamental units within UD are tokens. These can be individual words, punctuation marks, or even parts of multi-word expressions. Each token has several associated attributes. 2. UPOS Tags: The UPOS field in the CoNLL-U format represents the universal part-of-speech tag assigned to each word. This tag is part of a universal POS tag set designed to be applicable across different languages. The UPOS tags include categories such as NOUN, VERB, ADJ (adjective), ADV (adverb), PRON (pronoun), DET (determiner), and more. 3. Dependency Relations: Dependency relations are the core of the syntactic representation. They form a tree structure over the tokens in a sentence. Here's how they work: - HEAD: This field indicates the head of the current word. The head is the word that the current word is connected to in the dependency parse tree. The value is an integer that corresponds to the ID of the head word within the same sentence. A value of zero (0) indicates that the word is the root of the sentence. - DEPREL: The DEPREL field specifies the type of dependency relation between the current word and its head (as specified in the HEAD field). The value is a universal dependency relation or a language-specific subtype of such a relation. Note: Blank lines are used to mark the boundaries between sentences. Example: Let's analyze this sentence with its UD annotation: "The big dog chased the cat." 1. Tokenization: - The - big - dog - chased - the - cat - . 2. UPOS Tags: - The: DET - big: ADJ - dog: NOUN - chased: VERB - the: DET - cat: NOUN - .: PUNCT 3. Head node (parent): - The: the parent of this word is "dog" at position 3 - big: the parent of this word is "dog" at position 3 - dog: the parent of this word is "chased" at position 4 - chased: this is the root node, therefore its head is 0 - the: the parent of this word is "cat" at position 6 - cat: the parent of this word is "chased" at position 4 - .: the parent of this word is "chased" at position 4 3. Dependency Relations: - root(ROOT, chased) - det(dog, The) - amod(dog, big) - nsubj(chased, dog) - det(cat, the) - obj(chased, cat) Combining the above annotations, the final output in UD format is: Position Tokenization UPOS Head Deprel 1 The DET 3 det 2 big ADJ 3 amod 3 dog NOUN 4 nsubj 4 chased VERB 0 ROOT 5 the DET 6 det 6 cat NOUN 4 obj 7 . PUNCT 4 punct

Generate UD annotations for the following text: Лідзкія гімназістачкі Яна Станкевіч і Ірына Клейдэнст шпацыруюць па вуліцы Сувальскай (зараз Савецкай).

Position Tokenization UPOS Head Deprel 1 Лідзкія ADJ 2 amod 2 гімназістачкі NOUN 8 nsubj 3 Яна PROPN 2 appos 4 Станкевіч PROPN 3 flat:name 5 і CCONJ 6 cc 6 Ірына PROPN 3 conj 7 Клейдэнст PROPN 6 flat:name 8 шпацыруюць VERB 0 root 9 па ADP 10 case 10 вуліцы NOUN 8 obl 11 Сувальскай ADJ 10 amod 12 ( PUNCT 14 punct 13 зараз ADV 14 advmod 14 Савецкай ADJ 11 appos 15 ) PUNCT 14 punct 16 . PUNCT 8 punct

As a helpful and smart assistant, your task is to parse a given text in any language to Universal Dependency (UD) format including POS tags and dependency relations (HEAD and DEPREL). Key Components of UD Annotation: 1. Tokens: The fundamental units within UD are tokens. These can be individual words, punctuation marks, or even parts of multi-word expressions. Each token has several associated attributes. 2. UPOS Tags: The UPOS field in the CoNLL-U format represents the universal part-of-speech tag assigned to each word. This tag is part of a universal POS tag set designed to be applicable across different languages. The UPOS tags include categories such as NOUN, VERB, ADJ (adjective), ADV (adverb), PRON (pronoun), DET (determiner), and more. 3. Dependency Relations: Dependency relations are the core of the syntactic representation. They form a tree structure over the tokens in a sentence. Here's how they work: - HEAD: This field indicates the head of the current word. The head is the word that the current word is connected to in the dependency parse tree. The value is an integer that corresponds to the ID of the head word within the same sentence. A value of zero (0) indicates that the word is the root of the sentence. - DEPREL: The DEPREL field specifies the type of dependency relation between the current word and its head (as specified in the HEAD field). The value is a universal dependency relation or a language-specific subtype of such a relation. Note: Blank lines are used to mark the boundaries between sentences. Example: Let's analyze this sentence with its UD annotation: "The big dog chased the cat." 1. Tokenization: - The - big - dog - chased - the - cat - . 2. UPOS Tags: - The: DET - big: ADJ - dog: NOUN - chased: VERB - the: DET - cat: NOUN - .: PUNCT 3. Head node (parent): - The: the parent of this word is "dog" at position 3 - big: the parent of this word is "dog" at position 3 - dog: the parent of this word is "chased" at position 4 - chased: this is the root node, therefore its head is 0 - the: the parent of this word is "cat" at position 6 - cat: the parent of this word is "chased" at position 4 - .: the parent of this word is "chased" at position 4 3. Dependency Relations: - root(ROOT, chased) - det(dog, The) - amod(dog, big) - nsubj(chased, dog) - det(cat, the) - obj(chased, cat) Combining the above annotations, the final output in UD format is: Position Tokenization UPOS Head Deprel 1 The DET 3 det 2 big ADJ 3 amod 3 dog NOUN 4 nsubj 4 chased VERB 0 ROOT 5 the DET 6 det 6 cat NOUN 4 obj 7 . PUNCT 4 punct

Generate UD annotations for the following text: Наперадзе ў іх скрыжаваньне з вул.

Position Tokenization UPOS Head Deprel 1 Наперадзе ADV 0 root 2 ў ADP 4 case 3 іх DET 4 det 4 скрыжаваньне NOUN 1 obl 5 з ADP 6 case 6 вул. NOUN 4 nmod

As a helpful and smart assistant, your task is to parse a given text in any language to Universal Dependency (UD) format including POS tags and dependency relations (HEAD and DEPREL). Key Components of UD Annotation: 1. Tokens: The fundamental units within UD are tokens. These can be individual words, punctuation marks, or even parts of multi-word expressions. Each token has several associated attributes. 2. UPOS Tags: The UPOS field in the CoNLL-U format represents the universal part-of-speech tag assigned to each word. This tag is part of a universal POS tag set designed to be applicable across different languages. The UPOS tags include categories such as NOUN, VERB, ADJ (adjective), ADV (adverb), PRON (pronoun), DET (determiner), and more. 3. Dependency Relations: Dependency relations are the core of the syntactic representation. They form a tree structure over the tokens in a sentence. Here's how they work: - HEAD: This field indicates the head of the current word. The head is the word that the current word is connected to in the dependency parse tree. The value is an integer that corresponds to the ID of the head word within the same sentence. A value of zero (0) indicates that the word is the root of the sentence. - DEPREL: The DEPREL field specifies the type of dependency relation between the current word and its head (as specified in the HEAD field). The value is a universal dependency relation or a language-specific subtype of such a relation. Note: Blank lines are used to mark the boundaries between sentences. Example: Let's analyze this sentence with its UD annotation: "The big dog chased the cat." 1. Tokenization: - The - big - dog - chased - the - cat - . 2. UPOS Tags: - The: DET - big: ADJ - dog: NOUN - chased: VERB - the: DET - cat: NOUN - .: PUNCT 3. Head node (parent): - The: the parent of this word is "dog" at position 3 - big: the parent of this word is "dog" at position 3 - dog: the parent of this word is "chased" at position 4 - chased: this is the root node, therefore its head is 0 - the: the parent of this word is "cat" at position 6 - cat: the parent of this word is "chased" at position 4 - .: the parent of this word is "chased" at position 4 3. Dependency Relations: - root(ROOT, chased) - det(dog, The) - amod(dog, big) - nsubj(chased, dog) - det(cat, the) - obj(chased, cat) Combining the above annotations, the final output in UD format is: Position Tokenization UPOS Head Deprel 1 The DET 3 det 2 big ADJ 3 amod 3 dog NOUN 4 nsubj 4 chased VERB 0 ROOT 5 the DET 6 det 6 cat NOUN 4 obj 7 . PUNCT 4 punct

Generate UD annotations for the following text: 3-га Мая (Ленінскай).

Position Tokenization UPOS Head Deprel 1 3-га ADJ 2 amod 2 Мая NOUN 0 root 3 ( PUNCT 4 punct 4 Ленінскай ADJ 2 parataxis 5 ) PUNCT 4 punct 6 . PUNCT 2 punct

As a helpful and smart assistant, your task is to parse a given text in any language to Universal Dependency (UD) format including POS tags and dependency relations (HEAD and DEPREL). Key Components of UD Annotation: 1. Tokens: The fundamental units within UD are tokens. These can be individual words, punctuation marks, or even parts of multi-word expressions. Each token has several associated attributes. 2. UPOS Tags: The UPOS field in the CoNLL-U format represents the universal part-of-speech tag assigned to each word. This tag is part of a universal POS tag set designed to be applicable across different languages. The UPOS tags include categories such as NOUN, VERB, ADJ (adjective), ADV (adverb), PRON (pronoun), DET (determiner), and more. 3. Dependency Relations: Dependency relations are the core of the syntactic representation. They form a tree structure over the tokens in a sentence. Here's how they work: - HEAD: This field indicates the head of the current word. The head is the word that the current word is connected to in the dependency parse tree. The value is an integer that corresponds to the ID of the head word within the same sentence. A value of zero (0) indicates that the word is the root of the sentence. - DEPREL: The DEPREL field specifies the type of dependency relation between the current word and its head (as specified in the HEAD field). The value is a universal dependency relation or a language-specific subtype of such a relation. Note: Blank lines are used to mark the boundaries between sentences. Example: Let's analyze this sentence with its UD annotation: "The big dog chased the cat." 1. Tokenization: - The - big - dog - chased - the - cat - . 2. UPOS Tags: - The: DET - big: ADJ - dog: NOUN - chased: VERB - the: DET - cat: NOUN - .: PUNCT 3. Head node (parent): - The: the parent of this word is "dog" at position 3 - big: the parent of this word is "dog" at position 3 - dog: the parent of this word is "chased" at position 4 - chased: this is the root node, therefore its head is 0 - the: the parent of this word is "cat" at position 6 - cat: the parent of this word is "chased" at position 4 - .: the parent of this word is "chased" at position 4 3. Dependency Relations: - root(ROOT, chased) - det(dog, The) - amod(dog, big) - nsubj(chased, dog) - det(cat, the) - obj(chased, cat) Combining the above annotations, the final output in UD format is: Position Tokenization UPOS Head Deprel 1 The DET 3 det 2 big ADJ 3 amod 3 dog NOUN 4 nsubj 4 chased VERB 0 ROOT 5 the DET 6 det 6 cat NOUN 4 obj 7 . PUNCT 4 punct

Generate UD annotations for the following text: Яна Станкевіч будзе арыштавана ў 1940-м, у 1941 г. пройдзе "Ігуменскім шляхам сьмерці" зь Менску й выжыве.

Position Tokenization UPOS Head Deprel 1 Яна PROPN 4 nsubj:pass 2 Станкевіч PROPN 1 flat:name 3 будзе AUX 4 aux:pass 4 арыштавана VERB 0 root 5 ў ADP 14 case 6 1940-м ADJ 4 obl 7 , PUNCT 11 punct 8 у ADP 10 case 9 1941 ADJ 10 amod 10 г. NOUN 11 obl 11 пройдзе VERB 4 conj 12 " PUNCT 14 punct 13 Ігуменскім ADJ 14 amod 14 шляхам NOUN 11 obl 15 сьмерці NOUN 14 nmod 16 " PUNCT 14 punct 17 зь ADP 18 case 18 Менску PROPN 11 obl 19 й CCONJ 20 cc 20 выжыве VERB 11 conj 21 . PUNCT 4 punct

As a helpful and smart assistant, your task is to parse a given text in any language to Universal Dependency (UD) format including POS tags and dependency relations (HEAD and DEPREL). Key Components of UD Annotation: 1. Tokens: The fundamental units within UD are tokens. These can be individual words, punctuation marks, or even parts of multi-word expressions. Each token has several associated attributes. 2. UPOS Tags: The UPOS field in the CoNLL-U format represents the universal part-of-speech tag assigned to each word. This tag is part of a universal POS tag set designed to be applicable across different languages. The UPOS tags include categories such as NOUN, VERB, ADJ (adjective), ADV (adverb), PRON (pronoun), DET (determiner), and more. 3. Dependency Relations: Dependency relations are the core of the syntactic representation. They form a tree structure over the tokens in a sentence. Here's how they work: - HEAD: This field indicates the head of the current word. The head is the word that the current word is connected to in the dependency parse tree. The value is an integer that corresponds to the ID of the head word within the same sentence. A value of zero (0) indicates that the word is the root of the sentence. - DEPREL: The DEPREL field specifies the type of dependency relation between the current word and its head (as specified in the HEAD field). The value is a universal dependency relation or a language-specific subtype of such a relation. Note: Blank lines are used to mark the boundaries between sentences. Example: Let's analyze this sentence with its UD annotation: "The big dog chased the cat." 1. Tokenization: - The - big - dog - chased - the - cat - . 2. UPOS Tags: - The: DET - big: ADJ - dog: NOUN - chased: VERB - the: DET - cat: NOUN - .: PUNCT 3. Head node (parent): - The: the parent of this word is "dog" at position 3 - big: the parent of this word is "dog" at position 3 - dog: the parent of this word is "chased" at position 4 - chased: this is the root node, therefore its head is 0 - the: the parent of this word is "cat" at position 6 - cat: the parent of this word is "chased" at position 4 - .: the parent of this word is "chased" at position 4 3. Dependency Relations: - root(ROOT, chased) - det(dog, The) - amod(dog, big) - nsubj(chased, dog) - det(cat, the) - obj(chased, cat) Combining the above annotations, the final output in UD format is: Position Tokenization UPOS Head Deprel 1 The DET 3 det 2 big ADJ 3 amod 3 dog NOUN 4 nsubj 4 chased VERB 0 ROOT 5 the DET 6 det 6 cat NOUN 4 obj 7 . PUNCT 4 punct

Generate UD annotations for the following text: Адна з найстаражытнейшых вуліц старога места — вуліца Казьмадзям’янаўская, злучала Нізкі рынк з Высокім рынкам (Плошчы Свабоды).

Position Tokenization UPOS Head Deprel 1 Адна DET 8 det 2 з ADP 4 case 3 найстаражытнейшых ADJ 4 amod 4 вуліц NOUN 1 nmod 5 старога ADJ 6 amod 6 места NOUN 4 nmod 7 — PUNCT 4 punct 8 вуліца NOUN 0 root 9 Казьмадзям’янаўская ADJ 8 amod 10 , PUNCT 11 punct 11 злучала VERB 8 conj 12 Нізкі ADJ 13 amod 13 рынк NOUN 11 nsubj 14 з ADP 16 case 15 Высокім ADJ 16 amod 16 рынкам NOUN 13 nmod 17 ( PUNCT 18 punct 18 Плошчы NOUN 16 parataxis 19 Свабоды NOUN 18 nmod 20 ) PUNCT 18 punct 21 . PUNCT 8 punct

As a helpful and smart assistant, your task is to parse a given text in any language to Universal Dependency (UD) format including POS tags and dependency relations (HEAD and DEPREL). Key Components of UD Annotation: 1. Tokens: The fundamental units within UD are tokens. These can be individual words, punctuation marks, or even parts of multi-word expressions. Each token has several associated attributes. 2. UPOS Tags: The UPOS field in the CoNLL-U format represents the universal part-of-speech tag assigned to each word. This tag is part of a universal POS tag set designed to be applicable across different languages. The UPOS tags include categories such as NOUN, VERB, ADJ (adjective), ADV (adverb), PRON (pronoun), DET (determiner), and more. 3. Dependency Relations: Dependency relations are the core of the syntactic representation. They form a tree structure over the tokens in a sentence. Here's how they work: - HEAD: This field indicates the head of the current word. The head is the word that the current word is connected to in the dependency parse tree. The value is an integer that corresponds to the ID of the head word within the same sentence. A value of zero (0) indicates that the word is the root of the sentence. - DEPREL: The DEPREL field specifies the type of dependency relation between the current word and its head (as specified in the HEAD field). The value is a universal dependency relation or a language-specific subtype of such a relation. Note: Blank lines are used to mark the boundaries between sentences. Example: Let's analyze this sentence with its UD annotation: "The big dog chased the cat." 1. Tokenization: - The - big - dog - chased - the - cat - . 2. UPOS Tags: - The: DET - big: ADJ - dog: NOUN - chased: VERB - the: DET - cat: NOUN - .: PUNCT 3. Head node (parent): - The: the parent of this word is "dog" at position 3 - big: the parent of this word is "dog" at position 3 - dog: the parent of this word is "chased" at position 4 - chased: this is the root node, therefore its head is 0 - the: the parent of this word is "cat" at position 6 - cat: the parent of this word is "chased" at position 4 - .: the parent of this word is "chased" at position 4 3. Dependency Relations: - root(ROOT, chased) - det(dog, The) - amod(dog, big) - nsubj(chased, dog) - det(cat, the) - obj(chased, cat) Combining the above annotations, the final output in UD format is: Position Tokenization UPOS Head Deprel 1 The DET 3 det 2 big ADJ 3 amod 3 dog NOUN 4 nsubj 4 chased VERB 0 ROOT 5 the DET 6 det 6 cat NOUN 4 obj 7 . PUNCT 4 punct

Generate UD annotations for the following text: Цяпер тут лесьвіца ад праваслаўнага катэдральнага сабору.

Position Tokenization UPOS Head Deprel 1 Цяпер ADV 2 advmod 2 тут ADV 0 root 3 лесьвіца NOUN 2 nsubj 4 ад ADP 7 case 5 праваслаўнага ADJ 7 amod 6 катэдральнага ADJ 7 amod 7 сабору NOUN 3 nmod 8 . PUNCT 2 punct

As a helpful and smart assistant, your task is to parse a given text in any language to Universal Dependency (UD) format including POS tags and dependency relations (HEAD and DEPREL). Key Components of UD Annotation: 1. Tokens: The fundamental units within UD are tokens. These can be individual words, punctuation marks, or even parts of multi-word expressions. Each token has several associated attributes. 2. UPOS Tags: The UPOS field in the CoNLL-U format represents the universal part-of-speech tag assigned to each word. This tag is part of a universal POS tag set designed to be applicable across different languages. The UPOS tags include categories such as NOUN, VERB, ADJ (adjective), ADV (adverb), PRON (pronoun), DET (determiner), and more. 3. Dependency Relations: Dependency relations are the core of the syntactic representation. They form a tree structure over the tokens in a sentence. Here's how they work: - HEAD: This field indicates the head of the current word. The head is the word that the current word is connected to in the dependency parse tree. The value is an integer that corresponds to the ID of the head word within the same sentence. A value of zero (0) indicates that the word is the root of the sentence. - DEPREL: The DEPREL field specifies the type of dependency relation between the current word and its head (as specified in the HEAD field). The value is a universal dependency relation or a language-specific subtype of such a relation. Note: Blank lines are used to mark the boundaries between sentences. Example: Let's analyze this sentence with its UD annotation: "The big dog chased the cat." 1. Tokenization: - The - big - dog - chased - the - cat - . 2. UPOS Tags: - The: DET - big: ADJ - dog: NOUN - chased: VERB - the: DET - cat: NOUN - .: PUNCT 3. Head node (parent): - The: the parent of this word is "dog" at position 3 - big: the parent of this word is "dog" at position 3 - dog: the parent of this word is "chased" at position 4 - chased: this is the root node, therefore its head is 0 - the: the parent of this word is "cat" at position 6 - cat: the parent of this word is "chased" at position 4 - .: the parent of this word is "chased" at position 4 3. Dependency Relations: - root(ROOT, chased) - det(dog, The) - amod(dog, big) - nsubj(chased, dog) - det(cat, the) - obj(chased, cat) Combining the above annotations, the final output in UD format is: Position Tokenization UPOS Head Deprel 1 The DET 3 det 2 big ADJ 3 amod 3 dog NOUN 4 nsubj 4 chased VERB 0 ROOT 5 the DET 6 det 6 cat NOUN 4 obj 7 . PUNCT 4 punct

Generate UD annotations for the following text: У цэнтры над дамамі відаць сьцяну й дах так званага Гасьціннага двара (Дома Шменкеля), які там стаіць і цяпер.

Position Tokenization UPOS Head Deprel 1 У ADP 2 case 2 цэнтры NOUN 5 obl 3 над ADP 4 case 4 дамамі NOUN 2 nmod 5 відаць VERB 0 root 6 сьцяну NOUN 5 obj 7 й CCONJ 8 cc 8 дах NOUN 6 conj 9 так ADV 10 advmod 10 званага VERB 12 acl 11 Гасьціннага ADJ 12 amod 12 двара NOUN 8 nmod 13 ( PUNCT 14 punct 14 Дома NOUN 12 parataxis 15 Шменкеля PROPN 14 nmod 16 ) PUNCT 14 punct 17 , PUNCT 20 punct 18 які PRON 20 nsubj 19 там ADV 20 advmod 20 стаіць VERB 12 acl:relcl 21 і CCONJ 22 cc 22 цяпер ADV 20 conj 23 . PUNCT 5 punct

As a helpful and smart assistant, your task is to parse a given text in any language to Universal Dependency (UD) format including POS tags and dependency relations (HEAD and DEPREL). Key Components of UD Annotation: 1. Tokens: The fundamental units within UD are tokens. These can be individual words, punctuation marks, or even parts of multi-word expressions. Each token has several associated attributes. 2. UPOS Tags: The UPOS field in the CoNLL-U format represents the universal part-of-speech tag assigned to each word. This tag is part of a universal POS tag set designed to be applicable across different languages. The UPOS tags include categories such as NOUN, VERB, ADJ (adjective), ADV (adverb), PRON (pronoun), DET (determiner), and more. 3. Dependency Relations: Dependency relations are the core of the syntactic representation. They form a tree structure over the tokens in a sentence. Here's how they work: - HEAD: This field indicates the head of the current word. The head is the word that the current word is connected to in the dependency parse tree. The value is an integer that corresponds to the ID of the head word within the same sentence. A value of zero (0) indicates that the word is the root of the sentence. - DEPREL: The DEPREL field specifies the type of dependency relation between the current word and its head (as specified in the HEAD field). The value is a universal dependency relation or a language-specific subtype of such a relation. Note: Blank lines are used to mark the boundaries between sentences. Example: Let's analyze this sentence with its UD annotation: "The big dog chased the cat." 1. Tokenization: - The - big - dog - chased - the - cat - . 2. UPOS Tags: - The: DET - big: ADJ - dog: NOUN - chased: VERB - the: DET - cat: NOUN - .: PUNCT 3. Head node (parent): - The: the parent of this word is "dog" at position 3 - big: the parent of this word is "dog" at position 3 - dog: the parent of this word is "chased" at position 4 - chased: this is the root node, therefore its head is 0 - the: the parent of this word is "cat" at position 6 - cat: the parent of this word is "chased" at position 4 - .: the parent of this word is "chased" at position 4 3. Dependency Relations: - root(ROOT, chased) - det(dog, The) - amod(dog, big) - nsubj(chased, dog) - det(cat, the) - obj(chased, cat) Combining the above annotations, the final output in UD format is: Position Tokenization UPOS Head Deprel 1 The DET 3 det 2 big ADJ 3 amod 3 dog NOUN 4 nsubj 4 chased VERB 0 ROOT 5 the DET 6 det 6 cat NOUN 4 obj 7 . PUNCT 4 punct

Generate UD annotations for the following text: Фота Сяргея Абламейкі

Position Tokenization UPOS Head Deprel 1 Фота NOUN 0 root 2 Сяргея PROPN 1 nmod 3 Абламейкі PROPN 1 nmod

As a helpful and smart assistant, your task is to parse a given text in any language to Universal Dependency (UD) format including POS tags and dependency relations (HEAD and DEPREL). Key Components of UD Annotation: 1. Tokens: The fundamental units within UD are tokens. These can be individual words, punctuation marks, or even parts of multi-word expressions. Each token has several associated attributes. 2. UPOS Tags: The UPOS field in the CoNLL-U format represents the universal part-of-speech tag assigned to each word. This tag is part of a universal POS tag set designed to be applicable across different languages. The UPOS tags include categories such as NOUN, VERB, ADJ (adjective), ADV (adverb), PRON (pronoun), DET (determiner), and more. 3. Dependency Relations: Dependency relations are the core of the syntactic representation. They form a tree structure over the tokens in a sentence. Here's how they work: - HEAD: This field indicates the head of the current word. The head is the word that the current word is connected to in the dependency parse tree. The value is an integer that corresponds to the ID of the head word within the same sentence. A value of zero (0) indicates that the word is the root of the sentence. - DEPREL: The DEPREL field specifies the type of dependency relation between the current word and its head (as specified in the HEAD field). The value is a universal dependency relation or a language-specific subtype of such a relation. Note: Blank lines are used to mark the boundaries between sentences. Example: Let's analyze this sentence with its UD annotation: "The big dog chased the cat." 1. Tokenization: - The - big - dog - chased - the - cat - . 2. UPOS Tags: - The: DET - big: ADJ - dog: NOUN - chased: VERB - the: DET - cat: NOUN - .: PUNCT 3. Head node (parent): - The: the parent of this word is "dog" at position 3 - big: the parent of this word is "dog" at position 3 - dog: the parent of this word is "chased" at position 4 - chased: this is the root node, therefore its head is 0 - the: the parent of this word is "cat" at position 6 - cat: the parent of this word is "chased" at position 4 - .: the parent of this word is "chased" at position 4 3. Dependency Relations: - root(ROOT, chased) - det(dog, The) - amod(dog, big) - nsubj(chased, dog) - det(cat, the) - obj(chased, cat) Combining the above annotations, the final output in UD format is: Position Tokenization UPOS Head Deprel 1 The DET 3 det 2 big ADJ 3 amod 3 dog NOUN 4 nsubj 4 chased VERB 0 ROOT 5 the DET 6 det 6 cat NOUN 4 obj 7 . PUNCT 4 punct

Generate UD annotations for the following text: Брацьця, к агульнаму шчасьцю

Position Tokenization UPOS Head Deprel 1 Брацьця NOUN 0 root 2 , PUNCT 5 punct 3 к ADP 5 case 4 агульнаму ADJ 5 amod 5 шчасьцю NOUN 1 nmod

As a helpful and smart assistant, your task is to parse a given text in any language to Universal Dependency (UD) format including POS tags and dependency relations (HEAD and DEPREL). Key Components of UD Annotation: 1. Tokens: The fundamental units within UD are tokens. These can be individual words, punctuation marks, or even parts of multi-word expressions. Each token has several associated attributes. 2. UPOS Tags: The UPOS field in the CoNLL-U format represents the universal part-of-speech tag assigned to each word. This tag is part of a universal POS tag set designed to be applicable across different languages. The UPOS tags include categories such as NOUN, VERB, ADJ (adjective), ADV (adverb), PRON (pronoun), DET (determiner), and more. 3. Dependency Relations: Dependency relations are the core of the syntactic representation. They form a tree structure over the tokens in a sentence. Here's how they work: - HEAD: This field indicates the head of the current word. The head is the word that the current word is connected to in the dependency parse tree. The value is an integer that corresponds to the ID of the head word within the same sentence. A value of zero (0) indicates that the word is the root of the sentence. - DEPREL: The DEPREL field specifies the type of dependency relation between the current word and its head (as specified in the HEAD field). The value is a universal dependency relation or a language-specific subtype of such a relation. Note: Blank lines are used to mark the boundaries between sentences. Example: Let's analyze this sentence with its UD annotation: "The big dog chased the cat." 1. Tokenization: - The - big - dog - chased - the - cat - . 2. UPOS Tags: - The: DET - big: ADJ - dog: NOUN - chased: VERB - the: DET - cat: NOUN - .: PUNCT 3. Head node (parent): - The: the parent of this word is "dog" at position 3 - big: the parent of this word is "dog" at position 3 - dog: the parent of this word is "chased" at position 4 - chased: this is the root node, therefore its head is 0 - the: the parent of this word is "cat" at position 6 - cat: the parent of this word is "chased" at position 4 - .: the parent of this word is "chased" at position 4 3. Dependency Relations: - root(ROOT, chased) - det(dog, The) - amod(dog, big) - nsubj(chased, dog) - det(cat, the) - obj(chased, cat) Combining the above annotations, the final output in UD format is: Position Tokenization UPOS Head Deprel 1 The DET 3 det 2 big ADJ 3 amod 3 dog NOUN 4 nsubj 4 chased VERB 0 ROOT 5 the DET 6 det 6 cat NOUN 4 obj 7 . PUNCT 4 punct

Generate UD annotations for the following text: Трэба жыцьцё кіраваць.

Position Tokenization UPOS Head Deprel 1 Трэба VERB 2 amod 2 жыцьцё NOUN 3 obj 3 кіраваць VERB 0 root 4 . PUNCT 3 punct

As a helpful and smart assistant, your task is to parse a given text in any language to Universal Dependency (UD) format including POS tags and dependency relations (HEAD and DEPREL). Key Components of UD Annotation: 1. Tokens: The fundamental units within UD are tokens. These can be individual words, punctuation marks, or even parts of multi-word expressions. Each token has several associated attributes. 2. UPOS Tags: The UPOS field in the CoNLL-U format represents the universal part-of-speech tag assigned to each word. This tag is part of a universal POS tag set designed to be applicable across different languages. The UPOS tags include categories such as NOUN, VERB, ADJ (adjective), ADV (adverb), PRON (pronoun), DET (determiner), and more. 3. Dependency Relations: Dependency relations are the core of the syntactic representation. They form a tree structure over the tokens in a sentence. Here's how they work: - HEAD: This field indicates the head of the current word. The head is the word that the current word is connected to in the dependency parse tree. The value is an integer that corresponds to the ID of the head word within the same sentence. A value of zero (0) indicates that the word is the root of the sentence. - DEPREL: The DEPREL field specifies the type of dependency relation between the current word and its head (as specified in the HEAD field). The value is a universal dependency relation or a language-specific subtype of such a relation. Note: Blank lines are used to mark the boundaries between sentences. Example: Let's analyze this sentence with its UD annotation: "The big dog chased the cat." 1. Tokenization: - The - big - dog - chased - the - cat - . 2. UPOS Tags: - The: DET - big: ADJ - dog: NOUN - chased: VERB - the: DET - cat: NOUN - .: PUNCT 3. Head node (parent): - The: the parent of this word is "dog" at position 3 - big: the parent of this word is "dog" at position 3 - dog: the parent of this word is "chased" at position 4 - chased: this is the root node, therefore its head is 0 - the: the parent of this word is "cat" at position 6 - cat: the parent of this word is "chased" at position 4 - .: the parent of this word is "chased" at position 4 3. Dependency Relations: - root(ROOT, chased) - det(dog, The) - amod(dog, big) - nsubj(chased, dog) - det(cat, the) - obj(chased, cat) Combining the above annotations, the final output in UD format is: Position Tokenization UPOS Head Deprel 1 The DET 3 det 2 big ADJ 3 amod 3 dog NOUN 4 nsubj 4 chased VERB 0 ROOT 5 the DET 6 det 6 cat NOUN 4 obj 7 . PUNCT 4 punct

Generate UD annotations for the following text: Роўнасьць, братэрства і згода

Position Tokenization UPOS Head Deprel 1 Роўнасьць NOUN 0 root 2 , PUNCT 3 punct 3 братэрства NOUN 1 conj 4 і CCONJ 5 cc 5 згода NOUN 1 conj

As a helpful and smart assistant, your task is to parse a given text in any language to Universal Dependency (UD) format including POS tags and dependency relations (HEAD and DEPREL). Key Components of UD Annotation: 1. Tokens: The fundamental units within UD are tokens. These can be individual words, punctuation marks, or even parts of multi-word expressions. Each token has several associated attributes. 2. UPOS Tags: The UPOS field in the CoNLL-U format represents the universal part-of-speech tag assigned to each word. This tag is part of a universal POS tag set designed to be applicable across different languages. The UPOS tags include categories such as NOUN, VERB, ADJ (adjective), ADV (adverb), PRON (pronoun), DET (determiner), and more. 3. Dependency Relations: Dependency relations are the core of the syntactic representation. They form a tree structure over the tokens in a sentence. Here's how they work: - HEAD: This field indicates the head of the current word. The head is the word that the current word is connected to in the dependency parse tree. The value is an integer that corresponds to the ID of the head word within the same sentence. A value of zero (0) indicates that the word is the root of the sentence. - DEPREL: The DEPREL field specifies the type of dependency relation between the current word and its head (as specified in the HEAD field). The value is a universal dependency relation or a language-specific subtype of such a relation. Note: Blank lines are used to mark the boundaries between sentences. Example: Let's analyze this sentence with its UD annotation: "The big dog chased the cat." 1. Tokenization: - The - big - dog - chased - the - cat - . 2. UPOS Tags: - The: DET - big: ADJ - dog: NOUN - chased: VERB - the: DET - cat: NOUN - .: PUNCT 3. Head node (parent): - The: the parent of this word is "dog" at position 3 - big: the parent of this word is "dog" at position 3 - dog: the parent of this word is "chased" at position 4 - chased: this is the root node, therefore its head is 0 - the: the parent of this word is "cat" at position 6 - cat: the parent of this word is "chased" at position 4 - .: the parent of this word is "chased" at position 4 3. Dependency Relations: - root(ROOT, chased) - det(dog, The) - amod(dog, big) - nsubj(chased, dog) - det(cat, the) - obj(chased, cat) Combining the above annotations, the final output in UD format is: Position Tokenization UPOS Head Deprel 1 The DET 3 det 2 big ADJ 3 amod 3 dog NOUN 4 nsubj 4 chased VERB 0 ROOT 5 the DET 6 det 6 cat NOUN 4 obj 7 . PUNCT 4 punct

Generate UD annotations for the following text: Будуць нам шлях асьвятляць.

Position Tokenization UPOS Head Deprel 1 Будуць AUX 4 aux 2 нам PRON 4 iobj 3 шлях NOUN 4 obj 4 асьвятляць VERB 0 root 5 . PUNCT 4 punct

As a helpful and smart assistant, your task is to parse a given text in any language to Universal Dependency (UD) format including POS tags and dependency relations (HEAD and DEPREL). Key Components of UD Annotation: 1. Tokens: The fundamental units within UD are tokens. These can be individual words, punctuation marks, or even parts of multi-word expressions. Each token has several associated attributes. 2. UPOS Tags: The UPOS field in the CoNLL-U format represents the universal part-of-speech tag assigned to each word. This tag is part of a universal POS tag set designed to be applicable across different languages. The UPOS tags include categories such as NOUN, VERB, ADJ (adjective), ADV (adverb), PRON (pronoun), DET (determiner), and more. 3. Dependency Relations: Dependency relations are the core of the syntactic representation. They form a tree structure over the tokens in a sentence. Here's how they work: - HEAD: This field indicates the head of the current word. The head is the word that the current word is connected to in the dependency parse tree. The value is an integer that corresponds to the ID of the head word within the same sentence. A value of zero (0) indicates that the word is the root of the sentence. - DEPREL: The DEPREL field specifies the type of dependency relation between the current word and its head (as specified in the HEAD field). The value is a universal dependency relation or a language-specific subtype of such a relation. Note: Blank lines are used to mark the boundaries between sentences. Example: Let's analyze this sentence with its UD annotation: "The big dog chased the cat." 1. Tokenization: - The - big - dog - chased - the - cat - . 2. UPOS Tags: - The: DET - big: ADJ - dog: NOUN - chased: VERB - the: DET - cat: NOUN - .: PUNCT 3. Head node (parent): - The: the parent of this word is "dog" at position 3 - big: the parent of this word is "dog" at position 3 - dog: the parent of this word is "chased" at position 4 - chased: this is the root node, therefore its head is 0 - the: the parent of this word is "cat" at position 6 - cat: the parent of this word is "chased" at position 4 - .: the parent of this word is "chased" at position 4 3. Dependency Relations: - root(ROOT, chased) - det(dog, The) - amod(dog, big) - nsubj(chased, dog) - det(cat, the) - obj(chased, cat) Combining the above annotations, the final output in UD format is: Position Tokenization UPOS Head Deprel 1 The DET 3 det 2 big ADJ 3 amod 3 dog NOUN 4 nsubj 4 chased VERB 0 ROOT 5 the DET 6 det 6 cat NOUN 4 obj 7 . PUNCT 4 punct

Generate UD annotations for the following text: Згоднай, вялікай сям’ёю

Position Tokenization UPOS Head Deprel 1 Згоднай ADJ 4 amod 2 , PUNCT 3 punct 3 вялікай ADJ 1 conj 4 сям’ёю NOUN 0 root

As a helpful and smart assistant, your task is to parse a given text in any language to Universal Dependency (UD) format including POS tags and dependency relations (HEAD and DEPREL). Key Components of UD Annotation: 1. Tokens: The fundamental units within UD are tokens. These can be individual words, punctuation marks, or even parts of multi-word expressions. Each token has several associated attributes. 2. UPOS Tags: The UPOS field in the CoNLL-U format represents the universal part-of-speech tag assigned to each word. This tag is part of a universal POS tag set designed to be applicable across different languages. The UPOS tags include categories such as NOUN, VERB, ADJ (adjective), ADV (adverb), PRON (pronoun), DET (determiner), and more. 3. Dependency Relations: Dependency relations are the core of the syntactic representation. They form a tree structure over the tokens in a sentence. Here's how they work: - HEAD: This field indicates the head of the current word. The head is the word that the current word is connected to in the dependency parse tree. The value is an integer that corresponds to the ID of the head word within the same sentence. A value of zero (0) indicates that the word is the root of the sentence. - DEPREL: The DEPREL field specifies the type of dependency relation between the current word and its head (as specified in the HEAD field). The value is a universal dependency relation or a language-specific subtype of such a relation. Note: Blank lines are used to mark the boundaries between sentences. Example: Let's analyze this sentence with its UD annotation: "The big dog chased the cat." 1. Tokenization: - The - big - dog - chased - the - cat - . 2. UPOS Tags: - The: DET - big: ADJ - dog: NOUN - chased: VERB - the: DET - cat: NOUN - .: PUNCT 3. Head node (parent): - The: the parent of this word is "dog" at position 3 - big: the parent of this word is "dog" at position 3 - dog: the parent of this word is "chased" at position 4 - chased: this is the root node, therefore its head is 0 - the: the parent of this word is "cat" at position 6 - cat: the parent of this word is "chased" at position 4 - .: the parent of this word is "chased" at position 4 3. Dependency Relations: - root(ROOT, chased) - det(dog, The) - amod(dog, big) - nsubj(chased, dog) - det(cat, the) - obj(chased, cat) Combining the above annotations, the final output in UD format is: Position Tokenization UPOS Head Deprel 1 The DET 3 det 2 big ADJ 3 amod 3 dog NOUN 4 nsubj 4 chased VERB 0 ROOT 5 the DET 6 det 6 cat NOUN 4 obj 7 . PUNCT 4 punct

Generate UD annotations for the following text: Пойдзем к дзяньком залатым,

Position Tokenization UPOS Head Deprel 1 Пойдзем VERB 0 root 2 к ADP 3 case 3 дзяньком NOUN 1 obl 4 залатым ADJ 1 iobj 5 , PUNCT 1 punct

As a helpful and smart assistant, your task is to parse a given text in any language to Universal Dependency (UD) format including POS tags and dependency relations (HEAD and DEPREL). Key Components of UD Annotation: 1. Tokens: The fundamental units within UD are tokens. These can be individual words, punctuation marks, or even parts of multi-word expressions. Each token has several associated attributes. 2. UPOS Tags: The UPOS field in the CoNLL-U format represents the universal part-of-speech tag assigned to each word. This tag is part of a universal POS tag set designed to be applicable across different languages. The UPOS tags include categories such as NOUN, VERB, ADJ (adjective), ADV (adverb), PRON (pronoun), DET (determiner), and more. 3. Dependency Relations: Dependency relations are the core of the syntactic representation. They form a tree structure over the tokens in a sentence. Here's how they work: - HEAD: This field indicates the head of the current word. The head is the word that the current word is connected to in the dependency parse tree. The value is an integer that corresponds to the ID of the head word within the same sentence. A value of zero (0) indicates that the word is the root of the sentence. - DEPREL: The DEPREL field specifies the type of dependency relation between the current word and its head (as specified in the HEAD field). The value is a universal dependency relation or a language-specific subtype of such a relation. Note: Blank lines are used to mark the boundaries between sentences. Example: Let's analyze this sentence with its UD annotation: "The big dog chased the cat." 1. Tokenization: - The - big - dog - chased - the - cat - . 2. UPOS Tags: - The: DET - big: ADJ - dog: NOUN - chased: VERB - the: DET - cat: NOUN - .: PUNCT 3. Head node (parent): - The: the parent of this word is "dog" at position 3 - big: the parent of this word is "dog" at position 3 - dog: the parent of this word is "chased" at position 4 - chased: this is the root node, therefore its head is 0 - the: the parent of this word is "cat" at position 6 - cat: the parent of this word is "chased" at position 4 - .: the parent of this word is "chased" at position 4 3. Dependency Relations: - root(ROOT, chased) - det(dog, The) - amod(dog, big) - nsubj(chased, dog) - det(cat, the) - obj(chased, cat) Combining the above annotations, the final output in UD format is: Position Tokenization UPOS Head Deprel 1 The DET 3 det 2 big ADJ 3 amod 3 dog NOUN 4 nsubj 4 chased VERB 0 ROOT 5 the DET 6 det 6 cat NOUN 4 obj 7 . PUNCT 4 punct

Generate UD annotations for the following text: З думаю ў сэрцы сьвятою,

Position Tokenization UPOS Head Deprel 1 З ADP 2 case 2 думаю NOUN 0 root 3 ў ADP 4 case 4 сэрцы NOUN 2 nmod 5 сьвятою ADJ 4 obl 6 , PUNCT 2 punct

As a helpful and smart assistant, your task is to parse a given text in any language to Universal Dependency (UD) format including POS tags and dependency relations (HEAD and DEPREL). Key Components of UD Annotation: 1. Tokens: The fundamental units within UD are tokens. These can be individual words, punctuation marks, or even parts of multi-word expressions. Each token has several associated attributes. 2. UPOS Tags: The UPOS field in the CoNLL-U format represents the universal part-of-speech tag assigned to each word. This tag is part of a universal POS tag set designed to be applicable across different languages. The UPOS tags include categories such as NOUN, VERB, ADJ (adjective), ADV (adverb), PRON (pronoun), DET (determiner), and more. 3. Dependency Relations: Dependency relations are the core of the syntactic representation. They form a tree structure over the tokens in a sentence. Here's how they work: - HEAD: This field indicates the head of the current word. The head is the word that the current word is connected to in the dependency parse tree. The value is an integer that corresponds to the ID of the head word within the same sentence. A value of zero (0) indicates that the word is the root of the sentence. - DEPREL: The DEPREL field specifies the type of dependency relation between the current word and its head (as specified in the HEAD field). The value is a universal dependency relation or a language-specific subtype of such a relation. Note: Blank lines are used to mark the boundaries between sentences. Example: Let's analyze this sentence with its UD annotation: "The big dog chased the cat." 1. Tokenization: - The - big - dog - chased - the - cat - . 2. UPOS Tags: - The: DET - big: ADJ - dog: NOUN - chased: VERB - the: DET - cat: NOUN - .: PUNCT 3. Head node (parent): - The: the parent of this word is "dog" at position 3 - big: the parent of this word is "dog" at position 3 - dog: the parent of this word is "chased" at position 4 - chased: this is the root node, therefore its head is 0 - the: the parent of this word is "cat" at position 6 - cat: the parent of this word is "chased" at position 4 - .: the parent of this word is "chased" at position 4 3. Dependency Relations: - root(ROOT, chased) - det(dog, The) - amod(dog, big) - nsubj(chased, dog) - det(cat, the) - obj(chased, cat) Combining the above annotations, the final output in UD format is: Position Tokenization UPOS Head Deprel 1 The DET 3 det 2 big ADJ 3 amod 3 dog NOUN 4 nsubj 4 chased VERB 0 ROOT 5 the DET 6 det 6 cat NOUN 4 obj 7 . PUNCT 4 punct

Generate UD annotations for the following text: З нашым жаданьнем адным.

Position Tokenization UPOS Head Deprel 1 З ADP 3 case 2 нашым DET 3 det 3 жаданьнем NOUN 0 root 4 адным DET 3 det 5 . PUNCT 3 punct

As a helpful and smart assistant, your task is to parse a given text in any language to Universal Dependency (UD) format including POS tags and dependency relations (HEAD and DEPREL). Key Components of UD Annotation: 1. Tokens: The fundamental units within UD are tokens. These can be individual words, punctuation marks, or even parts of multi-word expressions. Each token has several associated attributes. 2. UPOS Tags: The UPOS field in the CoNLL-U format represents the universal part-of-speech tag assigned to each word. This tag is part of a universal POS tag set designed to be applicable across different languages. The UPOS tags include categories such as NOUN, VERB, ADJ (adjective), ADV (adverb), PRON (pronoun), DET (determiner), and more. 3. Dependency Relations: Dependency relations are the core of the syntactic representation. They form a tree structure over the tokens in a sentence. Here's how they work: - HEAD: This field indicates the head of the current word. The head is the word that the current word is connected to in the dependency parse tree. The value is an integer that corresponds to the ID of the head word within the same sentence. A value of zero (0) indicates that the word is the root of the sentence. - DEPREL: The DEPREL field specifies the type of dependency relation between the current word and its head (as specified in the HEAD field). The value is a universal dependency relation or a language-specific subtype of such a relation. Note: Blank lines are used to mark the boundaries between sentences. Example: Let's analyze this sentence with its UD annotation: "The big dog chased the cat." 1. Tokenization: - The - big - dog - chased - the - cat - . 2. UPOS Tags: - The: DET - big: ADJ - dog: NOUN - chased: VERB - the: DET - cat: NOUN - .: PUNCT 3. Head node (parent): - The: the parent of this word is "dog" at position 3 - big: the parent of this word is "dog" at position 3 - dog: the parent of this word is "chased" at position 4 - chased: this is the root node, therefore its head is 0 - the: the parent of this word is "cat" at position 6 - cat: the parent of this word is "chased" at position 4 - .: the parent of this word is "chased" at position 4 3. Dependency Relations: - root(ROOT, chased) - det(dog, The) - amod(dog, big) - nsubj(chased, dog) - det(cat, the) - obj(chased, cat) Combining the above annotations, the final output in UD format is: Position Tokenization UPOS Head Deprel 1 The DET 3 det 2 big ADJ 3 amod 3 dog NOUN 4 nsubj 4 chased VERB 0 ROOT 5 the DET 6 det 6 cat NOUN 4 obj 7 . PUNCT 4 punct

Generate UD annotations for the following text: Крыўды людской нам ня трэба,

Position Tokenization UPOS Head Deprel 1 Крыўды NOUN 0 root 2 людской ADJ 1 obl 3 нам PRON 5 iobj 4 ня PART 5 advmod 5 трэба VERB 2 xcomp 6 , PUNCT 1 punct

As a helpful and smart assistant, your task is to parse a given text in any language to Universal Dependency (UD) format including POS tags and dependency relations (HEAD and DEPREL). Key Components of UD Annotation: 1. Tokens: The fundamental units within UD are tokens. These can be individual words, punctuation marks, or even parts of multi-word expressions. Each token has several associated attributes. 2. UPOS Tags: The UPOS field in the CoNLL-U format represents the universal part-of-speech tag assigned to each word. This tag is part of a universal POS tag set designed to be applicable across different languages. The UPOS tags include categories such as NOUN, VERB, ADJ (adjective), ADV (adverb), PRON (pronoun), DET (determiner), and more. 3. Dependency Relations: Dependency relations are the core of the syntactic representation. They form a tree structure over the tokens in a sentence. Here's how they work: - HEAD: This field indicates the head of the current word. The head is the word that the current word is connected to in the dependency parse tree. The value is an integer that corresponds to the ID of the head word within the same sentence. A value of zero (0) indicates that the word is the root of the sentence. - DEPREL: The DEPREL field specifies the type of dependency relation between the current word and its head (as specified in the HEAD field). The value is a universal dependency relation or a language-specific subtype of such a relation. Note: Blank lines are used to mark the boundaries between sentences. Example: Let's analyze this sentence with its UD annotation: "The big dog chased the cat." 1. Tokenization: - The - big - dog - chased - the - cat - . 2. UPOS Tags: - The: DET - big: ADJ - dog: NOUN - chased: VERB - the: DET - cat: NOUN - .: PUNCT 3. Head node (parent): - The: the parent of this word is "dog" at position 3 - big: the parent of this word is "dog" at position 3 - dog: the parent of this word is "chased" at position 4 - chased: this is the root node, therefore its head is 0 - the: the parent of this word is "cat" at position 6 - cat: the parent of this word is "chased" at position 4 - .: the parent of this word is "chased" at position 4 3. Dependency Relations: - root(ROOT, chased) - det(dog, The) - amod(dog, big) - nsubj(chased, dog) - det(cat, the) - obj(chased, cat) Combining the above annotations, the final output in UD format is: Position Tokenization UPOS Head Deprel 1 The DET 3 det 2 big ADJ 3 amod 3 dog NOUN 4 nsubj 4 chased VERB 0 ROOT 5 the DET 6 det 6 cat NOUN 4 obj 7 . PUNCT 4 punct

Generate UD annotations for the following text: Сьлёз не бажаем ніч’іх,

Position Tokenization UPOS Head Deprel 1 Сьлёз NOUN 3 nsubj 2 не PART 3 advmod 3 бажаем VERB 0 root 4 ніч’іх DET 3 det 5 , PUNCT 3 punct

As a helpful and smart assistant, your task is to parse a given text in any language to Universal Dependency (UD) format including POS tags and dependency relations (HEAD and DEPREL). Key Components of UD Annotation: 1. Tokens: The fundamental units within UD are tokens. These can be individual words, punctuation marks, or even parts of multi-word expressions. Each token has several associated attributes. 2. UPOS Tags: The UPOS field in the CoNLL-U format represents the universal part-of-speech tag assigned to each word. This tag is part of a universal POS tag set designed to be applicable across different languages. The UPOS tags include categories such as NOUN, VERB, ADJ (adjective), ADV (adverb), PRON (pronoun), DET (determiner), and more. 3. Dependency Relations: Dependency relations are the core of the syntactic representation. They form a tree structure over the tokens in a sentence. Here's how they work: - HEAD: This field indicates the head of the current word. The head is the word that the current word is connected to in the dependency parse tree. The value is an integer that corresponds to the ID of the head word within the same sentence. A value of zero (0) indicates that the word is the root of the sentence. - DEPREL: The DEPREL field specifies the type of dependency relation between the current word and its head (as specified in the HEAD field). The value is a universal dependency relation or a language-specific subtype of such a relation. Note: Blank lines are used to mark the boundaries between sentences. Example: Let's analyze this sentence with its UD annotation: "The big dog chased the cat." 1. Tokenization: - The - big - dog - chased - the - cat - . 2. UPOS Tags: - The: DET - big: ADJ - dog: NOUN - chased: VERB - the: DET - cat: NOUN - .: PUNCT 3. Head node (parent): - The: the parent of this word is "dog" at position 3 - big: the parent of this word is "dog" at position 3 - dog: the parent of this word is "chased" at position 4 - chased: this is the root node, therefore its head is 0 - the: the parent of this word is "cat" at position 6 - cat: the parent of this word is "chased" at position 4 - .: the parent of this word is "chased" at position 4 3. Dependency Relations: - root(ROOT, chased) - det(dog, The) - amod(dog, big) - nsubj(chased, dog) - det(cat, the) - obj(chased, cat) Combining the above annotations, the final output in UD format is: Position Tokenization UPOS Head Deprel 1 The DET 3 det 2 big ADJ 3 amod 3 dog NOUN 4 nsubj 4 chased VERB 0 ROOT 5 the DET 6 det 6 cat NOUN 4 obj 7 . PUNCT 4 punct

Generate UD annotations for the following text: Хочам, каб зь яснага неба

Position Tokenization UPOS Head Deprel 1 Хочам VERB 0 root 2 , PUNCT 6 punct 3 каб SCONJ 6 mark 4 зь ADP 6 case 5 яснага ADJ 6 amod 6 неба NOUN 1 advcl

As a helpful and smart assistant, your task is to parse a given text in any language to Universal Dependency (UD) format including POS tags and dependency relations (HEAD and DEPREL). Key Components of UD Annotation: 1. Tokens: The fundamental units within UD are tokens. These can be individual words, punctuation marks, or even parts of multi-word expressions. Each token has several associated attributes. 2. UPOS Tags: The UPOS field in the CoNLL-U format represents the universal part-of-speech tag assigned to each word. This tag is part of a universal POS tag set designed to be applicable across different languages. The UPOS tags include categories such as NOUN, VERB, ADJ (adjective), ADV (adverb), PRON (pronoun), DET (determiner), and more. 3. Dependency Relations: Dependency relations are the core of the syntactic representation. They form a tree structure over the tokens in a sentence. Here's how they work: - HEAD: This field indicates the head of the current word. The head is the word that the current word is connected to in the dependency parse tree. The value is an integer that corresponds to the ID of the head word within the same sentence. A value of zero (0) indicates that the word is the root of the sentence. - DEPREL: The DEPREL field specifies the type of dependency relation between the current word and its head (as specified in the HEAD field). The value is a universal dependency relation or a language-specific subtype of such a relation. Note: Blank lines are used to mark the boundaries between sentences. Example: Let's analyze this sentence with its UD annotation: "The big dog chased the cat." 1. Tokenization: - The - big - dog - chased - the - cat - . 2. UPOS Tags: - The: DET - big: ADJ - dog: NOUN - chased: VERB - the: DET - cat: NOUN - .: PUNCT 3. Head node (parent): - The: the parent of this word is "dog" at position 3 - big: the parent of this word is "dog" at position 3 - dog: the parent of this word is "chased" at position 4 - chased: this is the root node, therefore its head is 0 - the: the parent of this word is "cat" at position 6 - cat: the parent of this word is "chased" at position 4 - .: the parent of this word is "chased" at position 4 3. Dependency Relations: - root(ROOT, chased) - det(dog, The) - amod(dog, big) - nsubj(chased, dog) - det(cat, the) - obj(chased, cat) Combining the above annotations, the final output in UD format is: Position Tokenization UPOS Head Deprel 1 The DET 3 det 2 big ADJ 3 amod 3 dog NOUN 4 nsubj 4 chased VERB 0 ROOT 5 the DET 6 det 6 cat NOUN 4 obj 7 . PUNCT 4 punct

Generate UD annotations for the following text: Сонца сьвяціла для ўсіх.

Position Tokenization UPOS Head Deprel 1 Сонца NOUN 2 nsubj 2 сьвяціла VERB 0 root 3 для ADP 4 case 4 ўсіх PRON 2 obl 5 . PUNCT 2 punct

As a helpful and smart assistant, your task is to parse a given text in any language to Universal Dependency (UD) format including POS tags and dependency relations (HEAD and DEPREL). Key Components of UD Annotation: 1. Tokens: The fundamental units within UD are tokens. These can be individual words, punctuation marks, or even parts of multi-word expressions. Each token has several associated attributes. 2. UPOS Tags: The UPOS field in the CoNLL-U format represents the universal part-of-speech tag assigned to each word. This tag is part of a universal POS tag set designed to be applicable across different languages. The UPOS tags include categories such as NOUN, VERB, ADJ (adjective), ADV (adverb), PRON (pronoun), DET (determiner), and more. 3. Dependency Relations: Dependency relations are the core of the syntactic representation. They form a tree structure over the tokens in a sentence. Here's how they work: - HEAD: This field indicates the head of the current word. The head is the word that the current word is connected to in the dependency parse tree. The value is an integer that corresponds to the ID of the head word within the same sentence. A value of zero (0) indicates that the word is the root of the sentence. - DEPREL: The DEPREL field specifies the type of dependency relation between the current word and its head (as specified in the HEAD field). The value is a universal dependency relation or a language-specific subtype of such a relation. Note: Blank lines are used to mark the boundaries between sentences. Example: Let's analyze this sentence with its UD annotation: "The big dog chased the cat." 1. Tokenization: - The - big - dog - chased - the - cat - . 2. UPOS Tags: - The: DET - big: ADJ - dog: NOUN - chased: VERB - the: DET - cat: NOUN - .: PUNCT 3. Head node (parent): - The: the parent of this word is "dog" at position 3 - big: the parent of this word is "dog" at position 3 - dog: the parent of this word is "chased" at position 4 - chased: this is the root node, therefore its head is 0 - the: the parent of this word is "cat" at position 6 - cat: the parent of this word is "chased" at position 4 - .: the parent of this word is "chased" at position 4 3. Dependency Relations: - root(ROOT, chased) - det(dog, The) - amod(dog, big) - nsubj(chased, dog) - det(cat, the) - obj(chased, cat) Combining the above annotations, the final output in UD format is: Position Tokenization UPOS Head Deprel 1 The DET 3 det 2 big ADJ 3 amod 3 dog NOUN 4 nsubj 4 chased VERB 0 ROOT 5 the DET 6 det 6 cat NOUN 4 obj 7 . PUNCT 4 punct

Generate UD annotations for the following text: Досыць было панаваньня

Position Tokenization UPOS Head Deprel 1 Досыць ADV 0 root 2 было AUX 1 cop 3 панаваньня NOUN 1 obl

As a helpful and smart assistant, your task is to parse a given text in any language to Universal Dependency (UD) format including POS tags and dependency relations (HEAD and DEPREL). Key Components of UD Annotation: 1. Tokens: The fundamental units within UD are tokens. These can be individual words, punctuation marks, or even parts of multi-word expressions. Each token has several associated attributes. 2. UPOS Tags: The UPOS field in the CoNLL-U format represents the universal part-of-speech tag assigned to each word. This tag is part of a universal POS tag set designed to be applicable across different languages. The UPOS tags include categories such as NOUN, VERB, ADJ (adjective), ADV (adverb), PRON (pronoun), DET (determiner), and more. 3. Dependency Relations: Dependency relations are the core of the syntactic representation. They form a tree structure over the tokens in a sentence. Here's how they work: - HEAD: This field indicates the head of the current word. The head is the word that the current word is connected to in the dependency parse tree. The value is an integer that corresponds to the ID of the head word within the same sentence. A value of zero (0) indicates that the word is the root of the sentence. - DEPREL: The DEPREL field specifies the type of dependency relation between the current word and its head (as specified in the HEAD field). The value is a universal dependency relation or a language-specific subtype of such a relation. Note: Blank lines are used to mark the boundaries between sentences. Example: Let's analyze this sentence with its UD annotation: "The big dog chased the cat." 1. Tokenization: - The - big - dog - chased - the - cat - . 2. UPOS Tags: - The: DET - big: ADJ - dog: NOUN - chased: VERB - the: DET - cat: NOUN - .: PUNCT 3. Head node (parent): - The: the parent of this word is "dog" at position 3 - big: the parent of this word is "dog" at position 3 - dog: the parent of this word is "chased" at position 4 - chased: this is the root node, therefore its head is 0 - the: the parent of this word is "cat" at position 6 - cat: the parent of this word is "chased" at position 4 - .: the parent of this word is "chased" at position 4 3. Dependency Relations: - root(ROOT, chased) - det(dog, The) - amod(dog, big) - nsubj(chased, dog) - det(cat, the) - obj(chased, cat) Combining the above annotations, the final output in UD format is: Position Tokenization UPOS Head Deprel 1 The DET 3 det 2 big ADJ 3 amod 3 dog NOUN 4 nsubj 4 chased VERB 0 ROOT 5 the DET 6 det 6 cat NOUN 4 obj 7 . PUNCT 4 punct

Generate UD annotations for the following text: Квотнікаў злых, махляроў,

Position Tokenization UPOS Head Deprel 1 Квотнікаў NOUN 0 root 2 злых ADJ 1 amod 3 , PUNCT 4 punct 4 махляроў NOUN 2 conj 5 , PUNCT 1 punct

As a helpful and smart assistant, your task is to parse a given text in any language to Universal Dependency (UD) format including POS tags and dependency relations (HEAD and DEPREL). Key Components of UD Annotation: 1. Tokens: The fundamental units within UD are tokens. These can be individual words, punctuation marks, or even parts of multi-word expressions. Each token has several associated attributes. 2. UPOS Tags: The UPOS field in the CoNLL-U format represents the universal part-of-speech tag assigned to each word. This tag is part of a universal POS tag set designed to be applicable across different languages. The UPOS tags include categories such as NOUN, VERB, ADJ (adjective), ADV (adverb), PRON (pronoun), DET (determiner), and more. 3. Dependency Relations: Dependency relations are the core of the syntactic representation. They form a tree structure over the tokens in a sentence. Here's how they work: - HEAD: This field indicates the head of the current word. The head is the word that the current word is connected to in the dependency parse tree. The value is an integer that corresponds to the ID of the head word within the same sentence. A value of zero (0) indicates that the word is the root of the sentence. - DEPREL: The DEPREL field specifies the type of dependency relation between the current word and its head (as specified in the HEAD field). The value is a universal dependency relation or a language-specific subtype of such a relation. Note: Blank lines are used to mark the boundaries between sentences. Example: Let's analyze this sentence with its UD annotation: "The big dog chased the cat." 1. Tokenization: - The - big - dog - chased - the - cat - . 2. UPOS Tags: - The: DET - big: ADJ - dog: NOUN - chased: VERB - the: DET - cat: NOUN - .: PUNCT 3. Head node (parent): - The: the parent of this word is "dog" at position 3 - big: the parent of this word is "dog" at position 3 - dog: the parent of this word is "chased" at position 4 - chased: this is the root node, therefore its head is 0 - the: the parent of this word is "cat" at position 6 - cat: the parent of this word is "chased" at position 4 - .: the parent of this word is "chased" at position 4 3. Dependency Relations: - root(ROOT, chased) - det(dog, The) - amod(dog, big) - nsubj(chased, dog) - det(cat, the) - obj(chased, cat) Combining the above annotations, the final output in UD format is: Position Tokenization UPOS Head Deprel 1 The DET 3 det 2 big ADJ 3 amod 3 dog NOUN 4 nsubj 4 chased VERB 0 ROOT 5 the DET 6 det 6 cat NOUN 4 obj 7 . PUNCT 4 punct

Generate UD annotations for the following text: Досыць для нас гараваньня,

Position Tokenization UPOS Head Deprel 1 Досыць ADV 0 root 2 для ADP 3 case 3 нас PRON 1 obl 4 гараваньня NOUN 3 nmod 5 , PUNCT 1 punct

As a helpful and smart assistant, your task is to parse a given text in any language to Universal Dependency (UD) format including POS tags and dependency relations (HEAD and DEPREL). Key Components of UD Annotation: 1. Tokens: The fundamental units within UD are tokens. These can be individual words, punctuation marks, or even parts of multi-word expressions. Each token has several associated attributes. 2. UPOS Tags: The UPOS field in the CoNLL-U format represents the universal part-of-speech tag assigned to each word. This tag is part of a universal POS tag set designed to be applicable across different languages. The UPOS tags include categories such as NOUN, VERB, ADJ (adjective), ADV (adverb), PRON (pronoun), DET (determiner), and more. 3. Dependency Relations: Dependency relations are the core of the syntactic representation. They form a tree structure over the tokens in a sentence. Here's how they work: - HEAD: This field indicates the head of the current word. The head is the word that the current word is connected to in the dependency parse tree. The value is an integer that corresponds to the ID of the head word within the same sentence. A value of zero (0) indicates that the word is the root of the sentence. - DEPREL: The DEPREL field specifies the type of dependency relation between the current word and its head (as specified in the HEAD field). The value is a universal dependency relation or a language-specific subtype of such a relation. Note: Blank lines are used to mark the boundaries between sentences. Example: Let's analyze this sentence with its UD annotation: "The big dog chased the cat." 1. Tokenization: - The - big - dog - chased - the - cat - . 2. UPOS Tags: - The: DET - big: ADJ - dog: NOUN - chased: VERB - the: DET - cat: NOUN - .: PUNCT 3. Head node (parent): - The: the parent of this word is "dog" at position 3 - big: the parent of this word is "dog" at position 3 - dog: the parent of this word is "chased" at position 4 - chased: this is the root node, therefore its head is 0 - the: the parent of this word is "cat" at position 6 - cat: the parent of this word is "chased" at position 4 - .: the parent of this word is "chased" at position 4 3. Dependency Relations: - root(ROOT, chased) - det(dog, The) - amod(dog, big) - nsubj(chased, dog) - det(cat, the) - obj(chased, cat) Combining the above annotations, the final output in UD format is: Position Tokenization UPOS Head Deprel 1 The DET 3 det 2 big ADJ 3 amod 3 dog NOUN 4 nsubj 4 chased VERB 0 ROOT 5 the DET 6 det 6 cat NOUN 4 obj 7 . PUNCT 4 punct

Generate UD annotations for the following text: Новых паклічам майстроў.

Position Tokenization UPOS Head Deprel 1 Новых ADJ 2 amod 2 паклічам VERB 0 root 3 майстроў NOUN 2 obl 4 . PUNCT 2 punct

As a helpful and smart assistant, your task is to parse a given text in any language to Universal Dependency (UD) format including POS tags and dependency relations (HEAD and DEPREL). Key Components of UD Annotation: 1. Tokens: The fundamental units within UD are tokens. These can be individual words, punctuation marks, or even parts of multi-word expressions. Each token has several associated attributes. 2. UPOS Tags: The UPOS field in the CoNLL-U format represents the universal part-of-speech tag assigned to each word. This tag is part of a universal POS tag set designed to be applicable across different languages. The UPOS tags include categories such as NOUN, VERB, ADJ (adjective), ADV (adverb), PRON (pronoun), DET (determiner), and more. 3. Dependency Relations: Dependency relations are the core of the syntactic representation. They form a tree structure over the tokens in a sentence. Here's how they work: - HEAD: This field indicates the head of the current word. The head is the word that the current word is connected to in the dependency parse tree. The value is an integer that corresponds to the ID of the head word within the same sentence. A value of zero (0) indicates that the word is the root of the sentence. - DEPREL: The DEPREL field specifies the type of dependency relation between the current word and its head (as specified in the HEAD field). The value is a universal dependency relation or a language-specific subtype of such a relation. Note: Blank lines are used to mark the boundaries between sentences. Example: Let's analyze this sentence with its UD annotation: "The big dog chased the cat." 1. Tokenization: - The - big - dog - chased - the - cat - . 2. UPOS Tags: - The: DET - big: ADJ - dog: NOUN - chased: VERB - the: DET - cat: NOUN - .: PUNCT 3. Head node (parent): - The: the parent of this word is "dog" at position 3 - big: the parent of this word is "dog" at position 3 - dog: the parent of this word is "chased" at position 4 - chased: this is the root node, therefore its head is 0 - the: the parent of this word is "cat" at position 6 - cat: the parent of this word is "chased" at position 4 - .: the parent of this word is "chased" at position 4 3. Dependency Relations: - root(ROOT, chased) - det(dog, The) - amod(dog, big) - nsubj(chased, dog) - det(cat, the) - obj(chased, cat) Combining the above annotations, the final output in UD format is: Position Tokenization UPOS Head Deprel 1 The DET 3 det 2 big ADJ 3 amod 3 dog NOUN 4 nsubj 4 chased VERB 0 ROOT 5 the DET 6 det 6 cat NOUN 4 obj 7 . PUNCT 4 punct

Generate UD annotations for the following text: Мусім народ абудзіці,

Position Tokenization UPOS Head Deprel 1 Мусім VERB 0 root 2 народ NOUN 1 nsubj 3 абудзіці VERB 1 xcomp 4 , PUNCT 1 punct