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:
El índice Ibex 35, que agrupa a los valores con mayor contratación del mercado, cedió 305,70 puntos, el 3,17%, hasta los 9.339,80.
Postion	Tokenization
1	El
2	índice
3	Ibex
4	35
5	,
6	que
7	agrupa
8	a
9	los
10	valores
11	con
12	mayor
13	contratación
14	del
15	mercado
16	,
17	cedió
18	305,70
19	puntos
20	,
21	el
22	3,17%
23	,
24	hasta
25	los
26	9.339,80
27	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	2	det
2	índice	NOUN	17	nsubj
3	Ibex	PROPN	2	appos
4	35	NUM	3	nummod
5	,	PUNCT	7	punct
6	que	PRON	7	nsubj
7	agrupa	VERB	2	acl
8	a	ADP	10	case
9	los	DET	10	det
10	valores	NOUN	7	obj
11	con	ADP	13	case
12	mayor	ADJ	13	amod
13	contratación	NOUN	10	nmod
14	del	ADP	15	case
15	mercado	NOUN	13	nmod
16	,	PUNCT	7	punct
17	cedió	VERB	0	root
18	305,70	NUM	19	nummod
19	puntos	NOUN	17	obj
20	,	PUNCT	22	punct
21	el	DET	22	det
22	3,17%	SYM	19	appos
23	,	PUNCT	22	punct
24	hasta	ADP	26	case
25	los	DET	26	det
26	9.339,80	NUM	17	obl
27	.	PUNCT	17	punct