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 presidente de Venezuela, Hugo Chávez, rompió una semana de silencio absoluto para anunciar que su gobierno trabaja a fondo, a pesar del parón político que ha supuesto el aplazamiento electoral del pasado domingo.
Postion	Tokenization
1	El
2	presidente
3	de
4	Venezuela
5	,
6	Hugo
7	Chávez
8	,
9	rompió
10	una
11	semana
12	de
13	silencio
14	absoluto
15	para
16	anunciar
17	que
18	su
19	gobierno
20	trabaja
21	a
22	fondo
23	,
24	a
25	pesar
26	del
27	parón
28	político
29	que
30	ha
31	supuesto
32	el
33	aplazamiento
34	electoral
35	del
36	pasado
37	domingo
38	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	2	det
2	presidente	NOUN	9	nsubj
3	de	ADP	4	case
4	Venezuela	PROPN	2	nmod
5	,	PUNCT	6	punct
6	Hugo	PROPN	2	appos
7	Chávez	PROPN	6	flat
8	,	PUNCT	6	punct
9	rompió	VERB	0	root
10	una	DET	11	det
11	semana	NOUN	9	obj
12	de	ADP	13	case
13	silencio	NOUN	11	nmod
14	absoluto	ADJ	13	amod
15	para	ADP	16	mark
16	anunciar	VERB	9	advcl
17	que	SCONJ	20	mark
18	su	DET	19	det
19	gobierno	NOUN	20	nsubj
20	trabaja	VERB	16	ccomp
21	a	ADP	20	advmod
22	fondo	NOUN	21	fixed
23	,	PUNCT	27	punct
24	a	ADP	27	case
25	pesar	NOUN	24	fixed
26	del	ADP	24	fixed
27	parón	NOUN	20	obl
28	político	ADJ	27	amod
29	que	PRON	31	obj
30	ha	AUX	31	aux
31	supuesto	VERB	27	acl
32	el	DET	33	det
33	aplazamiento	NOUN	31	nsubj
34	electoral	ADJ	33	amod
35	del	ADP	36	case
36	pasado	NOUN	33	nmod
37	domingo	NOUN	36	compound
38	.	PUNCT	9	punct