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:
El presidente anunció su disposición a establecer, en colaboración con las Comunidades Autónomas, nuevas líneas de apoyo que proporcionen información, formación y asesoramiento a mujeres víctimas de malos tratos.
Postion	Tokenization
1	El
2	presidente
3	anunció
4	su
5	disposición
6	a
7	establecer
8	,
9	en
10	colaboración
11	con
12	las
13	Comunidades
14	Autónomas
15	,
16	nuevas
17	líneas
18	de
19	apoyo
20	que
21	proporcionen
22	información
23	,
24	formación
25	y
26	asesoramiento
27	a
28	mujeres
29	víctimas
30	de
31	malos
32	tratos
33	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	2	det
2	presidente	NOUN	3	nsubj
3	anunció	VERB	0	root
4	su	DET	5	det
5	disposición	NOUN	3	obj
6	a	ADP	7	mark
7	establecer	VERB	5	acl
8	,	PUNCT	13	punct
9	en	ADP	13	case
10	colaboración	NOUN	9	fixed
11	con	ADP	9	fixed
12	las	DET	13	det
13	Comunidades	PROPN	7	obl
14	Autónomas	PROPN	13	flat
15	,	PUNCT	13	punct
16	nuevas	ADJ	17	amod
17	líneas	NOUN	7	obj
18	de	ADP	19	case
19	apoyo	NOUN	17	nmod
20	que	PRON	21	nsubj
21	proporcionen	VERB	17	acl
22	información	NOUN	21	obj
23	,	PUNCT	24	punct
24	formación	NOUN	22	conj
25	y	CCONJ	26	cc
26	asesoramiento	NOUN	22	conj
27	a	ADP	28	case
28	mujeres	NOUN	21	obj
29	víctimas	NOUN	28	appos
30	de	ADP	32	case
31	malos	ADJ	32	amod
32	tratos	NOUN	29	nmod
33	.	PUNCT	3	punct