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:
Bush, su candidato a vicepresidente, Dick Cheney, y sus principales colaboradores piensan descansar hoy de la maratoniana campaña y aparecer en público durante la noche una vez que se conozcan resultados fiables.
Postion	Tokenization
1	Bush
2	,
3	su
4	candidato
5	a
6	vicepresidente
7	,
8	Dick
9	Cheney
10	,
11	y
12	sus
13	principales
14	colaboradores
15	piensan
16	descansar
17	hoy
18	de
19	la
20	maratoniana
21	campaña
22	y
23	aparecer
24	en
25	público
26	durante
27	la
28	noche
29	una
30	vez
31	que
32	se
33	conozcan
34	resultados
35	fiables
36	.
Position	Tokenization	UPOS	Head	Deprel
1	Bush	PROPN	15	nsubj
2	,	PUNCT	4	punct
3	su	DET	4	det
4	candidato	NOUN	1	appos
5	a	ADP	6	case
6	vicepresidente	NOUN	4	nmod
7	,	PUNCT	8	punct
8	Dick	PROPN	4	appos
9	Cheney	PROPN	8	flat
10	,	PUNCT	8	punct
11	y	CCONJ	14	cc
12	sus	DET	14	det
13	principales	ADJ	14	amod
14	colaboradores	NOUN	1	conj
15	piensan	VERB	0	root
16	descansar	VERB	15	xcomp
17	hoy	ADV	16	advmod
18	de	ADP	21	case
19	la	DET	21	det
20	maratoniana	ADJ	21	amod
21	campaña	NOUN	16	obl
22	y	CCONJ	23	cc
23	aparecer	VERB	16	conj
24	en	ADP	23	advmod
25	público	NOUN	24	fixed
26	durante	ADP	28	case
27	la	DET	28	det
28	noche	NOUN	23	obl
29	una	DET	33	mark
30	vez	NOUN	29	fixed
31	que	SCONJ	29	fixed
32	se	PRON	33	expl:pass
33	conozcan	VERB	23	advcl
34	resultados	NOUN	33	nsubj
35	fiables	ADJ	34	amod
36	.	PUNCT	15	punct