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:
Según los últimos sondeos, que predijeron con exactitud el triunfo de la oposición en los comicios parlamentarios del 3 de enero, Mesic se ha convertido en el favorito para las presidenciales, en las que podría lograr un 29 por ciento de los votos.
Postion	Tokenization
1	Según
2	los
3	últimos
4	sondeos
5	,
6	que
7	predijeron
8	con
9	exactitud
10	el
11	triunfo
12	de
13	la
14	oposición
15	en
16	los
17	comicios
18	parlamentarios
19	del
20	3
21	de
22	enero
23	,
24	Mesic
25	se
26	ha
27	convertido
28	en
29	el
30	favorito
31	para
32	las
33	presidenciales
34	,
35	en
36	las
37	que
38	podría
39	lograr
40	un
41	29
42	por
43	ciento
44	de
45	los
46	votos
47	.
Position	Tokenization	UPOS	Head	Deprel
1	Según	ADP	4	case
2	los	DET	4	det
3	últimos	ADJ	4	amod
4	sondeos	NOUN	27	obl
5	,	PUNCT	7	punct
6	que	PRON	7	nsubj
7	predijeron	VERB	4	acl
8	con	ADP	9	case
9	exactitud	NOUN	7	obl
10	el	DET	11	det
11	triunfo	NOUN	7	obj
12	de	ADP	14	case
13	la	DET	14	det
14	oposición	NOUN	11	nmod
15	en	ADP	17	case
16	los	DET	17	det
17	comicios	NOUN	11	nmod
18	parlamentarios	ADJ	17	amod
19	del	ADP	20	case
20	3	NUM	17	nmod
21	de	ADP	22	case
22	enero	NOUN	20	compound
23	,	PUNCT	7	punct
24	Mesic	PROPN	27	nsubj
25	se	PRON	27	expl:pv
26	ha	AUX	27	aux
27	convertido	VERB	0	root
28	en	ADP	30	case
29	el	DET	30	det
30	favorito	ADJ	27	obj
31	para	ADP	39	mark
32	las	DET	39	det
33	presidenciales	ADJ	39	amod
34	,	PUNCT	39	punct
35	en	ADP	37	case
36	las	DET	37	det
37	que	PRON	39	obl
38	podría	AUX	39	aux
39	lograr	VERB	30	acl
40	un	DET	41	det
41	29	NUM	39	obj
42	por	ADP	43	case
43	ciento	NUM	41	compound
44	de	ADP	46	case
45	los	DET	46	det
46	votos	NOUN	41	nmod
47	.	PUNCT	27	punct