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:
Sea o no sea elegido presidente, sí es seguro que Bush ganará de forma abrumadora en su estado de Texas, pero perderá en Austin, la capital y sede de su campaña.
Postion	Tokenization
1	Sea
2	o
3	no
4	sea
5	elegido
6	presidente
7	,
8	sí
9	es
10	seguro
11	que
12	Bush
13	ganará
14	de
15	forma
16	abrumadora
17	en
18	su
19	estado
20	de
21	Texas
22	,
23	pero
24	perderá
25	en
26	Austin
27	,
28	la
29	capital
30	y
31	sede
32	de
33	su
34	campaña
35	.
Position	Tokenization	UPOS	Head	Deprel
1	Sea	AUX	10	advcl
2	o	CCONJ	5	cc
3	no	ADV	5	advmod
4	sea	AUX	5	aux
5	elegido	VERB	1	conj
6	presidente	NOUN	1	obj
7	,	PUNCT	1	punct
8	sí	INTJ	10	advcl
9	es	AUX	10	cop
10	seguro	ADJ	0	root
11	que	SCONJ	13	mark
12	Bush	PROPN	13	nsubj
13	ganará	VERB	10	csubj
14	de	ADP	15	case
15	forma	NOUN	13	obl
16	abrumadora	ADJ	15	amod
17	en	ADP	19	case
18	su	DET	19	det
19	estado	NOUN	13	obl
20	de	ADP	21	case
21	Texas	PROPN	19	nmod
22	,	PUNCT	24	punct
23	pero	CCONJ	24	cc
24	perderá	VERB	13	conj
25	en	ADP	26	case
26	Austin	PROPN	24	obl
27	,	PUNCT	29	punct
28	la	DET	29	det
29	capital	NOUN	26	appos
30	y	CCONJ	31	cc
31	sede	NOUN	29	conj
32	de	ADP	34	case
33	su	DET	34	det
34	campaña	NOUN	31	nmod
35	.	PUNCT	10	punct