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 el candidato nacionalista, en la próxima legislatura CiU variará su estrategia, y el objetivo de la gobernabilidad que le llevó a apoyar al PSOE en 1993 y al PP en 1996.
Postion	Tokenization
1	Según
2	el
3	candidato
4	nacionalista
5	,
6	en
7	la
8	próxima
9	legislatura
10	CiU
11	variará
12	su
13	estrategia
14	,
15	y
16	el
17	objetivo
18	de
19	la
20	gobernabilidad
21	que
22	le
23	llevó
24	a
25	apoyar
26	al
27	PSOE
28	en
29	1993
30	y
31	al
32	PP
33	en
34	1996
35	.
Position	Tokenization	UPOS	Head	Deprel
1	Según	ADP	3	case
2	el	DET	3	det
3	candidato	NOUN	11	obl
4	nacionalista	ADJ	3	amod
5	,	PUNCT	3	punct
6	en	ADP	9	case
7	la	DET	9	det
8	próxima	ADJ	9	amod
9	legislatura	NOUN	11	obl
10	CiU	PROPN	11	nsubj
11	variará	VERB	0	root
12	su	DET	13	det
13	estrategia	NOUN	11	obj
14	,	PUNCT	17	punct
15	y	CCONJ	17	cc
16	el	DET	17	det
17	objetivo	NOUN	13	conj
18	de	ADP	20	case
19	la	DET	20	det
20	gobernabilidad	NOUN	17	nmod
21	que	PRON	23	nsubj
22	le	PRON	23	iobj
23	llevó	VERB	17	acl
24	a	ADP	25	mark
25	apoyar	VERB	23	xcomp
26	al	ADP	27	case
27	PSOE	PROPN	25	obj
28	en	ADP	29	case
29	1993	NOUN	25	obl
30	y	CCONJ	32	cc
31	al	ADP	32	case
32	PP	PROPN	25	conj
33	en	ADP	34	case
34	1996	NOUN	32	nmod
35	.	PUNCT	11	punct