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:
En la reunión, José María Aznar destacó el hecho de que haya muchas mujeres que no denuncian ser víctimas de malos tratos porque no son autosuficientes e insistió en que, por eso, el esfuerzo fundamental de su Gobierno está dirigido a impulsar la autonomía de las mujeres y su reinserción laboral, objetivo por el cual se han vinculado, por primera vez, las casas de acogida con la formación ocupacional.
Postion	Tokenization
1	En
2	la
3	reunión
4	,
5	José
6	María
7	Aznar
8	destacó
9	el
10	hecho
11	de
12	que
13	haya
14	muchas
15	mujeres
16	que
17	no
18	denuncian
19	ser
20	víctimas
21	de
22	malos
23	tratos
24	porque
25	no
26	son
27	autosuficientes
28	e
29	insistió
30	en
31	que
32	,
33	por
34	eso
35	,
36	el
37	esfuerzo
38	fundamental
39	de
40	su
41	Gobierno
42	está
43	dirigido
44	a
45	impulsar
46	la
47	autonomía
48	de
49	las
50	mujeres
51	y
52	su
53	reinserción
54	laboral
55	,
56	objetivo
57	por
58	el
59	cual
60	se
61	han
62	vinculado
63	,
64	por
65	primera
66	vez
67	,
68	las
69	casas
70	de
71	acogida
72	con
73	la
74	formación
75	ocupacional
76	.
Position	Tokenization	UPOS	Head	Deprel
1	En	ADP	3	case
2	la	DET	3	det
3	reunión	NOUN	8	obl
4	,	PUNCT	3	punct
5	José	PROPN	8	nsubj
6	María	PROPN	5	flat
7	Aznar	PROPN	5	flat
8	destacó	VERB	0	root
9	el	DET	10	det
10	hecho	NOUN	8	obj
11	de	ADP	13	mark
12	que	SCONJ	13	mark
13	haya	AUX	10	acl
14	muchas	DET	15	det
15	mujeres	NOUN	13	obj
16	que	PRON	18	nsubj
17	no	ADV	18	advmod
18	denuncian	VERB	15	acl
19	ser	AUX	20	cop
20	víctimas	NOUN	18	xcomp
21	de	ADP	23	case
22	malos	ADJ	23	amod
23	tratos	NOUN	20	nmod
24	porque	SCONJ	27	mark
25	no	ADV	27	advmod
26	son	AUX	27	cop
27	autosuficientes	ADJ	18	advcl
28	e	CCONJ	29	cc
29	insistió	VERB	8	conj
30	en	ADP	43	mark
31	que	SCONJ	43	mark
32	,	PUNCT	34	punct
33	por	ADP	34	case
34	eso	PRON	43	obl
35	,	PUNCT	34	punct
36	el	DET	37	det
37	esfuerzo	NOUN	43	nsubj
38	fundamental	ADJ	37	amod
39	de	ADP	41	case
40	su	DET	41	det
41	Gobierno	PROPN	37	nmod
42	está	AUX	43	cop
43	dirigido	ADJ	29	ccomp
44	a	ADP	45	mark
45	impulsar	VERB	43	xcomp
46	la	DET	47	det
47	autonomía	NOUN	45	obj
48	de	ADP	50	case
49	las	DET	50	det
50	mujeres	NOUN	47	nmod
51	y	CCONJ	53	cc
52	su	DET	53	det
53	reinserción	NOUN	47	conj
54	laboral	ADJ	53	amod
55	,	PUNCT	56	punct
56	objetivo	NOUN	53	appos
57	por	ADP	59	case
58	el	DET	59	det
59	cual	PRON	62	obl
60	se	PRON	62	obj
61	han	AUX	62	aux
62	vinculado	VERB	56	acl
63	,	PUNCT	66	punct
64	por	ADP	66	case
65	primera	ADJ	66	amod
66	vez	NOUN	62	obl
67	,	PUNCT	66	punct
68	las	DET	69	det
69	casas	NOUN	62	nsubj
70	de	ADP	71	case
71	acogida	NOUN	69	nmod
72	con	ADP	74	case
73	la	DET	74	det
74	formación	NOUN	62	obj
75	ocupacional	ADJ	74	amod
76	.	PUNCT	8	punct