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:
El candidato de CiU a la presidencia del Gobierno, Xavier Trias, se ha ganado fama de político dialogante y nacionalista moderado en los 12 años en que ha sido conseller de Sanidad y de Presidencia de la Generalitat, pero su rendimiento electoral es una incógnita ya que es la primera vez que encabeza una candidatura y, además, lo hace "obligado" por Jordi Pujol.
Postion	Tokenization
1	El
2	candidato
3	de
4	CiU
5	a
6	la
7	presidencia
8	del
9	Gobierno
10	,
11	Xavier
12	Trias
13	,
14	se
15	ha
16	ganado
17	fama
18	de
19	político
20	dialogante
21	y
22	nacionalista
23	moderado
24	en
25	los
26	12
27	años
28	en
29	que
30	ha
31	sido
32	conseller
33	de
34	Sanidad
35	y
36	de
37	Presidencia
38	de
39	la
40	Generalitat
41	,
42	pero
43	su
44	rendimiento
45	electoral
46	es
47	una
48	incógnita
49	ya
50	que
51	es
52	la
53	primera
54	vez
55	que
56	encabeza
57	una
58	candidatura
59	y
60	,
61	además
62	,
63	lo
64	hace
65	"
66	obligado
67	"
68	por
69	Jordi
70	Pujol
71	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	2	det
2	candidato	NOUN	16	nsubj
3	de	ADP	4	case
4	CiU	PROPN	2	nmod
5	a	ADP	7	case
6	la	DET	7	det
7	presidencia	NOUN	2	nmod
8	del	ADP	9	case
9	Gobierno	PROPN	7	nmod
10	,	PUNCT	11	punct
11	Xavier	PROPN	2	appos
12	Trias	PROPN	11	flat
13	,	PUNCT	11	punct
14	se	PRON	16	iobj
15	ha	AUX	16	aux
16	ganado	VERB	0	root
17	fama	NOUN	16	obj
18	de	ADP	19	case
19	político	NOUN	17	nmod
20	dialogante	ADJ	19	amod
21	y	CCONJ	22	cc
22	nacionalista	NOUN	19	conj
23	moderado	ADJ	22	amod
24	en	ADP	27	case
25	los	DET	26	det
26	12	NUM	27	nummod
27	años	NOUN	16	obl
28	en	ADP	29	case
29	que	PRON	32	obl
30	ha	AUX	32	aux
31	sido	AUX	32	cop
32	conseller	NOUN	27	acl
33	de	ADP	34	case
34	Sanidad	PROPN	32	nmod
35	y	CCONJ	37	cc
36	de	ADP	37	case
37	Presidencia	PROPN	34	conj
38	de	ADP	40	case
39	la	DET	40	det
40	Generalitat	PROPN	37	flat
41	,	PUNCT	48	punct
42	pero	CCONJ	48	cc
43	su	DET	44	det
44	rendimiento	NOUN	48	nsubj
45	electoral	ADJ	44	amod
46	es	AUX	48	cop
47	una	DET	48	det
48	incógnita	NOUN	16	conj
49	ya	ADV	54	mark
50	que	SCONJ	49	fixed
51	es	AUX	54	cop
52	la	DET	54	det
53	primera	ADJ	54	amod
54	vez	NOUN	48	advcl
55	que	PRON	56	obl
56	encabeza	VERB	54	acl
57	una	DET	58	det
58	candidatura	NOUN	56	obj
59	y	CCONJ	64	cc
60	,	PUNCT	61	punct
61	además	ADV	64	advmod
62	,	PUNCT	61	punct
63	lo	PRON	64	obj
64	hace	VERB	54	conj
65	"	PUNCT	66	punct
66	obligado	ADJ	64	iobj
67	"	PUNCT	66	punct
68	por	ADP	69	case
69	Jordi	PROPN	66	obj
70	Pujol	PROPN	69	flat
71	.	PUNCT	16	punct