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 debate generado en Venezuela por el aplazamiento de las "megaelecciones" previstas para el pasado domingo ha revuelto el escenario político nacional, con un sólo invitado de piedra: el presidente Hugo Chávez.
Postion	Tokenization
1	El
2	debate
3	generado
4	en
5	Venezuela
6	por
7	el
8	aplazamiento
9	de
10	las
11	"
12	megaelecciones
13	"
14	previstas
15	para
16	el
17	pasado
18	domingo
19	ha
20	revuelto
21	el
22	escenario
23	político
24	nacional
25	,
26	con
27	un
28	sólo
29	invitado
30	de
31	piedra
32	:
33	el
34	presidente
35	Hugo
36	Chávez
37	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	2	det
2	debate	NOUN	20	nsubj
3	generado	ADJ	2	amod
4	en	ADP	5	case
5	Venezuela	PROPN	3	obl
6	por	ADP	8	case
7	el	DET	8	det
8	aplazamiento	NOUN	3	obj
9	de	ADP	12	case
10	las	DET	12	det
11	"	PUNCT	12	punct
12	megaelecciones	NOUN	8	nmod
13	"	PUNCT	12	punct
14	previstas	ADJ	12	amod
15	para	ADP	17	case
16	el	DET	17	det
17	pasado	NOUN	14	obl
18	domingo	NOUN	17	compound
19	ha	AUX	20	aux
20	revuelto	VERB	0	root
21	el	DET	22	det
22	escenario	NOUN	20	obj
23	político	ADJ	22	amod
24	nacional	ADJ	22	amod
25	,	PUNCT	29	punct
26	con	ADP	29	case
27	un	DET	29	det
28	sólo	ADV	29	advmod
29	invitado	NOUN	20	obl
30	de	ADP	31	case
31	piedra	NOUN	29	nmod
32	:	PUNCT	34	punct
33	el	DET	34	det
34	presidente	NOUN	29	appos
35	Hugo	PROPN	34	appos
36	Chávez	PROPN	35	flat
37	.	PUNCT	20	punct