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:
Para la liberal y proeuropea Oposición Democrática de Serbia (DOS), no habrá una segunda vuelta electoral triunfo indiscutible de su candidato, Kostunica, en las presidenciales del pasado día 24, cuando obtuvo un apoyo del 51,34 por ciento de los votantes.
Postion	Tokenization
1	Para
2	la
3	liberal
4	y
5	proeuropea
6	Oposición
7	Democrática
8	de
9	Serbia
10	(
11	DOS
12	)
13	,
14	no
15	habrá
16	una
17	segunda
18	vuelta
19	electoral
20	triunfo
21	indiscutible
22	de
23	su
24	candidato
25	,
26	Kostunica
27	,
28	en
29	las
30	presidenciales
31	del
32	pasado
33	día
34	24
35	,
36	cuando
37	obtuvo
38	un
39	apoyo
40	del
41	51,34
42	por
43	ciento
44	de
45	los
46	votantes
47	.
Position	Tokenization	UPOS	Head	Deprel
1	Para	ADP	6	case
2	la	DET	6	det
3	liberal	ADJ	6	amod
4	y	CCONJ	5	cc
5	proeuropea	ADJ	3	conj
6	Oposición	PROPN	15	obl
7	Democrática	PROPN	6	flat
8	de	ADP	9	case
9	Serbia	PROPN	6	flat
10	(	PUNCT	11	punct
11	DOS	PROPN	6	flat
12	)	PUNCT	11	punct
13	,	PUNCT	6	punct
14	no	ADV	15	advmod
15	habrá	AUX	0	root
16	una	DET	18	det
17	segunda	ADJ	18	amod
18	vuelta	NOUN	15	obj
19	electoral	ADJ	18	amod
20	triunfo	NOUN	15	obl
21	indiscutible	ADJ	20	amod
22	de	ADP	24	case
23	su	DET	24	det
24	candidato	NOUN	20	nmod
25	,	PUNCT	26	punct
26	Kostunica	PROPN	24	appos
27	,	PUNCT	26	punct
28	en	ADP	30	case
29	las	DET	30	det
30	presidenciales	ADJ	20	amod
31	del	ADP	33	case
32	pasado	ADJ	33	amod
33	día	NOUN	30	nmod
34	24	NUM	33	compound
35	,	PUNCT	37	punct
36	cuando	PRON	37	obl
37	obtuvo	VERB	33	acl
38	un	DET	39	det
39	apoyo	NOUN	37	obj
40	del	ADP	41	case
41	51,34	NUM	39	nummod
42	por	ADP	43	case
43	ciento	NUM	41	compound
44	de	ADP	46	case
45	los	DET	46	det
46	votantes	NOUN	41	nmod
47	.	PUNCT	15	punct