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 Ibex 35 cedió un 0,3% en su última sesión, y cerró en 10.531,60 puntos, lo que supone un retroceso de 49,7 puntos frente a los 10.581,30 de principios de julio.
Postion	Tokenization
1	El
2	Ibex
3	35
4	cedió
5	un
6	0,3%
7	en
8	su
9	última
10	sesión
11	,
12	y
13	cerró
14	en
15	10.531,60
16	puntos
17	,
18	lo
19	que
20	supone
21	un
22	retroceso
23	de
24	49,7
25	puntos
26	frente
27	a
28	los
29	10.581,30
30	de
31	principios
32	de
33	julio
34	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	2	det
2	Ibex	PROPN	4	nsubj
3	35	NUM	2	nummod
4	cedió	VERB	0	root
5	un	DET	6	det
6	0,3%	SYM	4	obj
7	en	ADP	10	case
8	su	DET	10	det
9	última	ADJ	10	amod
10	sesión	NOUN	4	obl
11	,	PUNCT	13	punct
12	y	CCONJ	13	cc
13	cerró	VERB	4	conj
14	en	ADP	16	case
15	10.531,60	NUM	16	nummod
16	puntos	NOUN	13	obl
17	,	PUNCT	20	punct
18	lo	PRON	20	det
19	que	PRON	20	nsubj
20	supone	VERB	4	advcl
21	un	DET	22	det
22	retroceso	NOUN	20	obj
23	de	ADP	25	case
24	49,7	NUM	25	nummod
25	puntos	NOUN	22	nmod
26	frente	ADV	22	advmod
27	a	ADP	29	case
28	los	DET	29	det
29	10.581,30	NUM	26	obl
30	de	ADP	31	case
31	principios	NOUN	29	nmod
32	de	ADP	33	case
33	julio	NOUN	31	nmod
34	.	PUNCT	4	punct