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:
Los dos republicanos se han lanzado a cautivar al 17 por ciento de los votantes indecisos, que, en un principio, pueden beneficiar al senador McCain.
Postion	Tokenization
1	Los
2	dos
3	republicanos
4	se
5	han
6	lanzado
7	a
8	cautivar
9	al
10	17
11	por
12	ciento
13	de
14	los
15	votantes
16	indecisos
17	,
18	que
19	,
20	en
21	un
22	principio
23	,
24	pueden
25	beneficiar
26	al
27	senador
28	McCain
29	.
Position	Tokenization	UPOS	Head	Deprel
1	Los	DET	3	det
2	dos	NUM	1	nummod
3	republicanos	NOUN	6	nsubj
4	se	PRON	6	expl:pv
5	han	AUX	6	aux
6	lanzado	VERB	0	root
7	a	ADP	8	mark
8	cautivar	VERB	6	xcomp
9	al	ADP	10	case
10	17	NUM	8	obj
11	por	ADP	12	case
12	ciento	NUM	10	compound
13	de	ADP	15	case
14	los	DET	15	det
15	votantes	NOUN	10	nmod
16	indecisos	ADJ	15	amod
17	,	PUNCT	25	punct
18	que	PRON	25	nsubj
19	,	PUNCT	22	punct
20	en	ADP	22	case
21	un	DET	22	det
22	principio	NOUN	25	obl
23	,	PUNCT	22	punct
24	pueden	AUX	25	aux
25	beneficiar	VERB	15	acl
26	al	ADP	27	case
27	senador	NOUN	25	obj
28	McCain	PROPN	27	appos
29	.	PUNCT	6	punct