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:
Antes de que McCain suspendiera su campaña presidencial, Bush era un claro favorito en Colorado, Utah y Wyoming, donde hoy se distribuirán cuarenta, veinticuatro y veintidós delegados, respectivamente.
Postion	Tokenization
1	Antes
2	de
3	que
4	McCain
5	suspendiera
6	su
7	campaña
8	presidencial
9	,
10	Bush
11	era
12	un
13	claro
14	favorito
15	en
16	Colorado
17	,
18	Utah
19	y
20	Wyoming
21	,
22	donde
23	hoy
24	se
25	distribuirán
26	cuarenta
27	,
28	veinticuatro
29	y
30	veintidós
31	delegados
32	,
33	respectivamente
34	.
Position	Tokenization	UPOS	Head	Deprel
1	Antes	ADV	14	advmod
2	de	ADP	5	mark
3	que	SCONJ	5	mark
4	McCain	PROPN	5	nsubj
5	suspendiera	VERB	1	advcl
6	su	DET	7	det
7	campaña	NOUN	5	obj
8	presidencial	ADJ	7	amod
9	,	PUNCT	1	punct
10	Bush	PROPN	14	nsubj
11	era	AUX	14	cop
12	un	DET	14	det
13	claro	ADJ	14	amod
14	favorito	NOUN	0	root
15	en	ADP	16	case
16	Colorado	PROPN	14	obl
17	,	PUNCT	18	punct
18	Utah	PROPN	16	conj
19	y	CCONJ	20	cc
20	Wyoming	PROPN	16	conj
21	,	PUNCT	25	punct
22	donde	PRON	25	obl
23	hoy	ADV	25	advmod
24	se	PRON	25	expl:pass
25	distribuirán	VERB	16	acl
26	cuarenta	NUM	31	nummod
27	,	PUNCT	28	punct
28	veinticuatro	NUM	26	compound
29	y	CCONJ	30	cc
30	veintidós	NUM	26	conj
31	delegados	NOUN	25	nsubj
32	,	PUNCT	33	punct
33	respectivamente	ADV	31	advmod
34	.	PUNCT	14	punct