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:
George W. Bush, gobernador de Tejas y candidato favorito del Partido Republicano a la Casa Blanca, se apuntó ayer una nueva victoria en las primarias celebradas en el estado de Virginia.
Postion	Tokenization
1	George
2	W.
3	Bush
4	,
5	gobernador
6	de
7	Tejas
8	y
9	candidato
10	favorito
11	del
12	Partido
13	Republicano
14	a
15	la
16	Casa
17	Blanca
18	,
19	se
20	apuntó
21	ayer
22	una
23	nueva
24	victoria
25	en
26	las
27	primarias
28	celebradas
29	en
30	el
31	estado
32	de
33	Virginia
34	.
Position	Tokenization	UPOS	Head	Deprel
1	George	PROPN	20	nsubj
2	W.	PROPN	1	flat
3	Bush	PROPN	1	flat
4	,	PUNCT	5	punct
5	gobernador	NOUN	1	appos
6	de	ADP	7	case
7	Tejas	PROPN	5	nmod
8	y	CCONJ	9	cc
9	candidato	NOUN	5	conj
10	favorito	ADJ	9	amod
11	del	ADP	12	case
12	Partido	PROPN	9	nmod
13	Republicano	PROPN	12	flat
14	a	ADP	16	case
15	la	DET	16	det
16	Casa	PROPN	9	nmod
17	Blanca	PROPN	16	flat
18	,	PUNCT	5	punct
19	se	PRON	20	expl:pv
20	apuntó	VERB	0	root
21	ayer	ADV	20	advmod
22	una	DET	24	det
23	nueva	ADJ	24	amod
24	victoria	NOUN	20	obj
25	en	ADP	28	case
26	las	DET	28	det
27	primarias	ADJ	28	amod
28	celebradas	ADJ	24	amod
29	en	ADP	31	case
30	el	DET	31	det
31	estado	NOUN	28	obl
32	de	ADP	33	case
33	Virginia	PROPN	31	nmod
34	.	PUNCT	20	punct