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 el transcurso de la reunión, este colectivo entregó al jefe del Ejecutivo un documento con propuestas para luchar contra la violencia doméstica, que Aznar se comprometió a estudiar.
Postion	Tokenization
1	En
2	el
3	transcurso
4	de
5	la
6	reunión
7	,
8	este
9	colectivo
10	entregó
11	al
12	jefe
13	del
14	Ejecutivo
15	un
16	documento
17	con
18	propuestas
19	para
20	luchar
21	contra
22	la
23	violencia
24	doméstica
25	,
26	que
27	Aznar
28	se
29	comprometió
30	a
31	estudiar
32	.
Position	Tokenization	UPOS	Head	Deprel
1	En	ADP	3	case
2	el	DET	3	det
3	transcurso	NOUN	10	obl
4	de	ADP	6	case
5	la	DET	6	det
6	reunión	NOUN	3	nmod
7	,	PUNCT	3	punct
8	este	DET	9	det
9	colectivo	NOUN	10	nsubj
10	entregó	VERB	0	root
11	al	ADP	12	case
12	jefe	NOUN	10	obj
13	del	ADP	14	case
14	Ejecutivo	PROPN	12	nmod
15	un	DET	16	det
16	documento	NOUN	10	obj
17	con	ADP	18	case
18	propuestas	NOUN	16	nmod
19	para	ADP	20	mark
20	luchar	VERB	18	acl
21	contra	ADP	23	case
22	la	DET	23	det
23	violencia	NOUN	20	obj
24	doméstica	ADJ	23	amod
25	,	PUNCT	29	punct
26	que	PRON	29	iobj
27	Aznar	PROPN	29	nsubj
28	se	PRON	29	obj
29	comprometió	VERB	16	acl
30	a	ADP	31	mark
31	estudiar	VERB	29	xcomp
32	.	PUNCT	10	punct