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:
"Si en los próximos días Mas presenta su candidatura a secretario general, le daré pleno apoyo y estoy a disposición del presidente Pujol y de Mas para trabajar a su lado" ha afirmado Esteve.
Postion	Tokenization
1	"
2	Si
3	en
4	los
5	próximos
6	días
7	Mas
8	presenta
9	su
10	candidatura
11	a
12	secretario
13	general
14	,
15	le
16	daré
17	pleno
18	apoyo
19	y
20	estoy
21	a
22	disposición
23	del
24	presidente
25	Pujol
26	y
27	de
28	Mas
29	para
30	trabajar
31	a
32	su
33	lado
34	"
35	ha
36	afirmado
37	Esteve
38	.
Position	Tokenization	UPOS	Head	Deprel
1	"	PUNCT	16	punct
2	Si	SCONJ	8	mark
3	en	ADP	6	case
4	los	DET	6	det
5	próximos	ADJ	6	amod
6	días	NOUN	8	obl
7	Mas	PROPN	8	nsubj
8	presenta	VERB	16	advcl
9	su	DET	10	det
10	candidatura	NOUN	8	obj
11	a	ADP	12	case
12	secretario	NOUN	10	nmod
13	general	ADJ	12	amod
14	,	PUNCT	8	punct
15	le	PRON	16	obj
16	daré	VERB	36	ccomp
17	pleno	ADJ	18	amod
18	apoyo	NOUN	16	obj
19	y	CCONJ	22	cc
20	estoy	AUX	22	cop
21	a	ADP	22	case
22	disposición	NOUN	16	conj
23	del	ADP	24	case
24	presidente	NOUN	22	nmod
25	Pujol	PROPN	24	appos
26	y	CCONJ	28	cc
27	de	ADP	28	case
28	Mas	PROPN	24	conj
29	para	ADP	30	mark
30	trabajar	VERB	22	acl
31	a	ADP	33	case
32	su	DET	33	det
33	lado	NOUN	30	obl
34	"	PUNCT	16	punct
35	ha	AUX	36	aux
36	afirmado	VERB	0	root
37	Esteve	PROPN	36	nsubj
38	.	PUNCT	36	punct