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 tokenized text:
Kostunica fue diputado en el Parlamento serbio en dos legislaturas, de 1990 a 1997, año en que su partido boicoteó las elecciones parlamentarias.
Postion	Tokenization
1	Kostunica
2	fue
3	diputado
4	en
5	el
6	Parlamento
7	serbio
8	en
9	dos
10	legislaturas
11	,
12	de
13	1990
14	a
15	1997
16	,
17	año
18	en
19	que
20	su
21	partido
22	boicoteó
23	las
24	elecciones
25	parlamentarias
26	.
Position	Tokenization	UPOS	Head	Deprel
1	Kostunica	PROPN	3	nsubj
2	fue	AUX	3	cop
3	diputado	NOUN	0	root
4	en	ADP	6	case
5	el	DET	6	det
6	Parlamento	PROPN	3	nmod
7	serbio	ADJ	6	amod
8	en	ADP	10	case
9	dos	NUM	10	nummod
10	legislaturas	NOUN	3	obl
11	,	PUNCT	13	punct
12	de	ADP	13	case
13	1990	NOUN	10	nmod
14	a	ADP	15	case
15	1997	NOUN	13	nmod
16	,	PUNCT	17	punct
17	año	NOUN	15	appos
18	en	ADP	19	case
19	que	PRON	22	obl
20	su	DET	21	det
21	partido	NOUN	22	nsubj
22	boicoteó	VERB	17	acl
23	las	DET	24	det
24	elecciones	NOUN	22	obj
25	parlamentarias	ADJ	24	amod
26	.	PUNCT	3	punct