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:
Con una cuarta parte de los votos escrutados, McCain se hizo con el 47% de los votos, y Bush, con el 31%, una diferencia muy superior a los 10 puntos que pronosticaban los sondeos la víspera.
Postion	Tokenization
1	Con
2	una
3	cuarta
4	parte
5	de
6	los
7	votos
8	escrutados
9	,
10	McCain
11	se
12	hizo
13	con
14	el
15	47%
16	de
17	los
18	votos
19	,
20	y
21	Bush
22	,
23	con
24	el
25	31%
26	,
27	una
28	diferencia
29	muy
30	superior
31	a
32	los
33	10
34	puntos
35	que
36	pronosticaban
37	los
38	sondeos
39	la
40	víspera
41	.
Position	Tokenization	UPOS	Head	Deprel
1	Con	ADP	4	case
2	una	DET	4	det
3	cuarta	ADJ	4	amod
4	parte	NOUN	12	obl
5	de	ADP	7	case
6	los	DET	7	det
7	votos	NOUN	4	nmod
8	escrutados	ADJ	7	amod
9	,	PUNCT	4	punct
10	McCain	PROPN	12	nsubj
11	se	PRON	12	expl:pv
12	hizo	VERB	0	root
13	con	ADP	15	case
14	el	DET	15	det
15	47%	SYM	12	obj
16	de	ADP	18	case
17	los	DET	18	det
18	votos	NOUN	15	nmod
19	,	PUNCT	12	punct
20	y	CCONJ	12	cc
21	Bush	PROPN	12	obl
22	,	PUNCT	25	punct
23	con	ADP	25	case
24	el	DET	25	det
25	31%	SYM	21	nmod
26	,	PUNCT	28	punct
27	una	DET	28	det
28	diferencia	NOUN	12	obl
29	muy	ADV	30	advmod
30	superior	ADJ	28	amod
31	a	ADP	34	case
32	los	DET	33	det
33	10	NUM	34	nummod
34	puntos	NOUN	30	nmod
35	que	PRON	36	obj
36	pronosticaban	VERB	34	acl
37	los	DET	38	det
38	sondeos	NOUN	36	nsubj
39	la	DET	40	det
40	víspera	NOUN	36	obl
41	.	PUNCT	12	punct