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:
Cheney residía en Dallas (Texas) hasta que el candidato presidencial republicano, George W. Bush, gobernador de ese estado, lo propuso como su compañero electoral.
Postion	Tokenization
1	Cheney
2	residía
3	en
4	Dallas
5	(
6	Texas
7	)
8	hasta
9	que
10	el
11	candidato
12	presidencial
13	republicano
14	,
15	George
16	W.
17	Bush
18	,
19	gobernador
20	de
21	ese
22	estado
23	,
24	lo
25	propuso
26	como
27	su
28	compañero
29	electoral
30	.
Position	Tokenization	UPOS	Head	Deprel
1	Cheney	PROPN	2	nsubj
2	residía	VERB	0	root
3	en	ADP	4	case
4	Dallas	PROPN	2	obl
5	(	PUNCT	6	punct
6	Texas	PROPN	4	flat
7	)	PUNCT	6	punct
8	hasta	ADP	25	mark
9	que	SCONJ	25	mark
10	el	DET	11	det
11	candidato	NOUN	25	nsubj
12	presidencial	ADJ	11	amod
13	republicano	NOUN	11	nmod
14	,	PUNCT	15	punct
15	George	PROPN	11	appos
16	W.	PROPN	15	flat
17	Bush	PROPN	15	flat
18	,	PUNCT	15	punct
19	gobernador	NOUN	11	appos
20	de	ADP	22	case
21	ese	DET	22	det
22	estado	NOUN	19	nmod
23	,	PUNCT	19	punct
24	lo	PRON	25	obj
25	propuso	VERB	2	advcl
26	como	SCONJ	28	mark
27	su	DET	28	det
28	compañero	NOUN	25	iobj
29	electoral	ADJ	28	amod
30	.	PUNCT	2	punct