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:
Nos hemos comprometido a estabilizar el mercado, a valorar el producto y a evitar la constante volatilidad de los precios ", aseguró Cárdenas al concluir el encuentro.
Postion	Tokenization
1	Nos
2	hemos
3	comprometido
4	a
5	estabilizar
6	el
7	mercado
8	,
9	a
10	valorar
11	el
12	producto
13	y
14	a
15	evitar
16	la
17	constante
18	volatilidad
19	de
20	los
21	precios
22	"
23	,
24	aseguró
25	Cárdenas
26	al
27	concluir
28	el
29	encuentro
30	.
Position	Tokenization	UPOS	Head	Deprel
1	Nos	PRON	3	obj
2	hemos	AUX	3	aux
3	comprometido	VERB	24	ccomp
4	a	ADP	5	mark
5	estabilizar	VERB	3	xcomp
6	el	DET	7	det
7	mercado	NOUN	5	obj
8	,	PUNCT	10	punct
9	a	ADP	10	mark
10	valorar	VERB	5	conj
11	el	DET	12	det
12	producto	NOUN	10	obj
13	y	CCONJ	15	cc
14	a	ADP	15	mark
15	evitar	VERB	5	conj
16	la	DET	18	det
17	constante	ADJ	18	amod
18	volatilidad	NOUN	15	obj
19	de	ADP	21	case
20	los	DET	21	det
21	precios	NOUN	18	nmod
22	"	PUNCT	3	punct
23	,	PUNCT	3	punct
24	aseguró	VERB	0	root
25	Cárdenas	PROPN	24	nsubj
26	al	ADP	27	mark
27	concluir	VERB	24	advcl
28	el	DET	29	det
29	encuentro	NOUN	27	obj
30	.	PUNCT	24	punct