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:
Quedó claro que el 50,24 por ciento del pueblo estaba a favor de Kostunica y sólo el 37,15 por ciento apoyaba a Milosevic a nivel federal, y que la DOS había barrido en las municipales serbias.
Postion	Tokenization
1	Quedó
2	claro
3	que
4	el
5	50,24
6	por
7	ciento
8	del
9	pueblo
10	estaba
11	a
12	favor
13	de
14	Kostunica
15	y
16	sólo
17	el
18	37,15
19	por
20	ciento
21	apoyaba
22	a
23	Milosevic
24	a
25	nivel
26	federal
27	,
28	y
29	que
30	la
31	DOS
32	había
33	barrido
34	en
35	las
36	municipales
37	serbias
38	.
Position	Tokenization	UPOS	Head	Deprel
1	Quedó	VERB	0	root
2	claro	ADV	1	obj
3	que	SCONJ	14	mark
4	el	DET	5	det
5	50,24	NUM	14	nsubj
6	por	ADP	7	case
7	ciento	NUM	5	compound
8	del	ADP	9	case
9	pueblo	NOUN	5	nmod
10	estaba	AUX	14	cop
11	a	ADP	14	case
12	favor	NOUN	11	fixed
13	de	ADP	11	fixed
14	Kostunica	PROPN	1	csubj
15	y	CCONJ	21	cc
16	sólo	ADV	18	advmod
17	el	DET	18	det
18	37,15	NUM	21	nsubj
19	por	ADP	20	case
20	ciento	NUM	18	compound
21	apoyaba	VERB	14	conj
22	a	ADP	23	case
23	Milosevic	PROPN	21	obj
24	a	ADP	25	case
25	nivel	NOUN	21	obl
26	federal	ADJ	25	amod
27	,	PUNCT	33	punct
28	y	CCONJ	33	cc
29	que	SCONJ	33	mark
30	la	DET	31	det
31	DOS	PROPN	33	nsubj
32	había	AUX	33	aux
33	barrido	VERB	14	conj
34	en	ADP	36	case
35	las	DET	36	det
36	municipales	ADJ	33	advmod
37	serbias	ADJ	36	amod
38	.	PUNCT	1	punct