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:
Destacó el empeño de Aznar por incorporar mujeres a altas responsabilidades y criticó al PSOE porque sólo se le ha ocurrido presentar a una mujer a la presidencia del Senado cuando Aznar propuso a Esperanza Aguirre.
Postion	Tokenization
1	Destacó
2	el
3	empeño
4	de
5	Aznar
6	por
7	incorporar
8	mujeres
9	a
10	altas
11	responsabilidades
12	y
13	criticó
14	al
15	PSOE
16	porque
17	sólo
18	se
19	le
20	ha
21	ocurrido
22	presentar
23	a
24	una
25	mujer
26	a
27	la
28	presidencia
29	del
30	Senado
31	cuando
32	Aznar
33	propuso
34	a
35	Esperanza
36	Aguirre
37	.
Position	Tokenization	UPOS	Head	Deprel
1	Destacó	VERB	0	root
2	el	DET	3	det
3	empeño	NOUN	1	obj
4	de	ADP	5	case
5	Aznar	PROPN	3	nmod
6	por	ADP	7	mark
7	incorporar	VERB	3	acl
8	mujeres	NOUN	7	obj
9	a	ADP	11	case
10	altas	ADJ	11	amod
11	responsabilidades	NOUN	7	obl
12	y	CCONJ	13	cc
13	criticó	VERB	1	conj
14	al	ADP	15	case
15	PSOE	PROPN	13	obj
16	porque	SCONJ	21	mark
17	sólo	ADV	21	advmod
18	se	PRON	21	expl:pv
19	le	PRON	21	obj
20	ha	AUX	21	aux
21	ocurrido	VERB	13	advcl
22	presentar	VERB	21	csubj
23	a	ADP	25	case
24	una	DET	25	det
25	mujer	NOUN	22	obj
26	a	ADP	28	case
27	la	DET	28	det
28	presidencia	NOUN	22	obl
29	del	ADP	30	case
30	Senado	PROPN	28	nmod
31	cuando	SCONJ	33	mark
32	Aznar	PROPN	33	nsubj
33	propuso	VERB	22	advcl
34	a	ADP	35	case
35	Esperanza	PROPN	33	obj
36	Aguirre	PROPN	35	flat
37	.	PUNCT	1	punct