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:
Durante el encuentro, Aznar destacó el valor del compromiso de las artistas por su labor de concienciación de la sociedad y les mostró su apoyo "incondicional" en la lucha contra la violencia doméstica.
Postion	Tokenization
1	Durante
2	el
3	encuentro
4	,
5	Aznar
6	destacó
7	el
8	valor
9	del
10	compromiso
11	de
12	las
13	artistas
14	por
15	su
16	labor
17	de
18	concienciación
19	de
20	la
21	sociedad
22	y
23	les
24	mostró
25	su
26	apoyo
27	"
28	incondicional
29	"
30	en
31	la
32	lucha
33	contra
34	la
35	violencia
36	doméstica
37	.
Position	Tokenization	UPOS	Head	Deprel
1	Durante	ADP	3	case
2	el	DET	3	det
3	encuentro	NOUN	6	obl
4	,	PUNCT	3	punct
5	Aznar	PROPN	6	nsubj
6	destacó	VERB	0	root
7	el	DET	8	det
8	valor	NOUN	6	obj
9	del	ADP	10	case
10	compromiso	NOUN	8	nmod
11	de	ADP	13	case
12	las	DET	13	det
13	artistas	NOUN	10	nmod
14	por	ADP	16	case
15	su	DET	16	det
16	labor	NOUN	8	nmod
17	de	ADP	18	case
18	concienciación	NOUN	16	nmod
19	de	ADP	21	case
20	la	DET	21	det
21	sociedad	NOUN	18	nmod
22	y	CCONJ	24	cc
23	les	PRON	24	obj
24	mostró	VERB	6	conj
25	su	DET	26	det
26	apoyo	NOUN	24	obj
27	"	PUNCT	28	punct
28	incondicional	ADJ	26	amod
29	"	PUNCT	28	punct
30	en	ADP	32	case
31	la	DET	32	det
32	lucha	NOUN	26	nmod
33	contra	ADP	35	case
34	la	DET	35	det
35	violencia	NOUN	32	nmod
36	doméstica	ADJ	35	amod
37	.	PUNCT	6	punct