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 del Gobierno, José María Aznar, se comprometió hoy a promover "una ley integral" contra los malos tratos y a impulsar "unidades específicas" de Policía y Guardia Civil para atender "a mujeres, niños y adolescentes víctimas de agresiones sexuales", que estarán integradas "principalmente por mujeres".
Postion	Tokenization
1	El
2	presidente
3	del
4	Gobierno
5	,
6	José
7	María
8	Aznar
9	,
10	se
11	comprometió
12	hoy
13	a
14	promover
15	"
16	una
17	ley
18	integral
19	"
20	contra
21	los
22	malos
23	tratos
24	y
25	a
26	impulsar
27	"
28	unidades
29	específicas
30	"
31	de
32	Policía
33	y
34	Guardia
35	Civil
36	para
37	atender
38	"
39	a
40	mujeres
41	,
42	niños
43	y
44	adolescentes
45	víctimas
46	de
47	agresiones
48	sexuales
49	"
50	,
51	que
52	estarán
53	integradas
54	"
55	principalmente
56	por
57	mujeres
58	"
59	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	2	det
2	presidente	NOUN	11	nsubj
3	del	ADP	4	case
4	Gobierno	PROPN	2	nmod
5	,	PUNCT	6	punct
6	José	PROPN	2	appos
7	María	PROPN	6	flat
8	Aznar	PROPN	6	flat
9	,	PUNCT	6	punct
10	se	PRON	11	obj
11	comprometió	VERB	0	root
12	hoy	ADV	11	advmod
13	a	ADP	14	mark
14	promover	VERB	11	xcomp
15	"	PUNCT	17	punct
16	una	DET	17	det
17	ley	NOUN	14	obj
18	integral	ADJ	17	amod
19	"	PUNCT	17	punct
20	contra	ADP	23	case
21	los	DET	23	det
22	malos	ADJ	23	amod
23	tratos	NOUN	14	obl
24	y	CCONJ	26	cc
25	a	ADP	26	mark
26	impulsar	VERB	14	conj
27	"	PUNCT	28	punct
28	unidades	NOUN	26	obj
29	específicas	ADJ	28	amod
30	"	PUNCT	28	punct
31	de	ADP	32	case
32	Policía	PROPN	28	nmod
33	y	CCONJ	34	cc
34	Guardia	PROPN	32	conj
35	Civil	PROPN	34	flat
36	para	ADP	37	mark
37	atender	VERB	28	acl
38	"	PUNCT	40	punct
39	a	ADP	40	case
40	mujeres	NOUN	37	obj
41	,	PUNCT	42	punct
42	niños	NOUN	40	conj
43	y	CCONJ	44	cc
44	adolescentes	NOUN	40	conj
45	víctimas	NOUN	40	appos
46	de	ADP	47	case
47	agresiones	NOUN	45	nmod
48	sexuales	ADJ	47	amod
49	"	PUNCT	40	punct
50	,	PUNCT	53	punct
51	que	PRON	53	nsubj
52	estarán	AUX	53	cop
53	integradas	ADJ	28	acl
54	"	PUNCT	55	punct
55	principalmente	ADV	53	obj
56	por	ADP	55	case
57	mujeres	NOUN	55	nmod
58	"	PUNCT	55	punct
59	.	PUNCT	11	punct