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 Gobierno chino evitó en las últimas horas que Pekín se convirtiera en escenario de protestas estudiantiles por la victoria del independentista Chen Shui-bian en las elecciones presidenciales celebradas en Taiwán el sábado, se informó hoy en la capital china.
Postion	Tokenization
1	El
2	Gobierno
3	chino
4	evitó
5	en
6	las
7	últimas
8	horas
9	que
10	Pekín
11	se
12	convirtiera
13	en
14	escenario
15	de
16	protestas
17	estudiantiles
18	por
19	la
20	victoria
21	del
22	independentista
23	Chen
24	Shui-bian
25	en
26	las
27	elecciones
28	presidenciales
29	celebradas
30	en
31	Taiwán
32	el
33	sábado
34	,
35	se
36	informó
37	hoy
38	en
39	la
40	capital
41	china
42	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	2	det
2	Gobierno	PROPN	4	nsubj
3	chino	ADJ	2	amod
4	evitó	VERB	36	csubj
5	en	ADP	8	case
6	las	DET	8	det
7	últimas	ADJ	8	amod
8	horas	NOUN	4	obl
9	que	SCONJ	12	mark
10	Pekín	PROPN	12	nsubj
11	se	PRON	12	expl:pv
12	convirtiera	VERB	4	ccomp
13	en	ADP	14	case
14	escenario	NOUN	12	obj
15	de	ADP	16	case
16	protestas	NOUN	14	nmod
17	estudiantiles	ADJ	16	amod
18	por	ADP	20	case
19	la	DET	20	det
20	victoria	NOUN	12	obl
21	del	ADP	22	case
22	independentista	NOUN	20	nmod
23	Chen	PROPN	22	appos
24	Shui-bian	PROPN	23	flat
25	en	ADP	27	case
26	las	DET	27	det
27	elecciones	NOUN	20	nmod
28	presidenciales	ADJ	27	amod
29	celebradas	ADJ	27	amod
30	en	ADP	31	case
31	Taiwán	PROPN	29	obl
32	el	DET	33	det
33	sábado	NOUN	29	obl
34	,	PUNCT	4	punct
35	se	PRON	36	expl:impers
36	informó	VERB	0	root
37	hoy	ADV	36	advmod
38	en	ADP	40	case
39	la	DET	40	det
40	capital	NOUN	36	obl
41	china	ADJ	40	amod
42	.	PUNCT	36	punct