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:
Todo ello llevó el optimismo al mercado, que cerró con una subida de 79,80 puntos (el 0,80%) en el Ibex 35 y de 7,66 puntos (también del 0,80%) en el índice general.
Postion	Tokenization
1	Todo
2	ello
3	llevó
4	el
5	optimismo
6	al
7	mercado
8	,
9	que
10	cerró
11	con
12	una
13	subida
14	de
15	79,80
16	puntos
17	(
18	el
19	0,80%
20	)
21	en
22	el
23	Ibex
24	35
25	y
26	de
27	7,66
28	puntos
29	(
30	también
31	del
32	0,80%
33	)
34	en
35	el
36	índice
37	general
38	.
Position	Tokenization	UPOS	Head	Deprel
1	Todo	DET	2	det
2	ello	PRON	3	nsubj
3	llevó	VERB	0	root
4	el	DET	5	det
5	optimismo	NOUN	3	obj
6	al	ADP	7	case
7	mercado	NOUN	3	obl
8	,	PUNCT	10	punct
9	que	PRON	10	nsubj
10	cerró	VERB	7	acl
11	con	ADP	13	case
12	una	DET	13	det
13	subida	NOUN	10	obl
14	de	ADP	16	case
15	79,80	NUM	16	nummod
16	puntos	NOUN	13	nmod
17	(	PUNCT	19	punct
18	el	DET	19	det
19	0,80%	SYM	16	appos
20	)	PUNCT	19	punct
21	en	ADP	23	case
22	el	DET	23	det
23	Ibex	PROPN	16	nmod
24	35	NUM	23	nummod
25	y	CCONJ	28	cc
26	de	ADP	28	case
27	7,66	NUM	28	nummod
28	puntos	NOUN	16	conj
29	(	PUNCT	30	punct
30	también	ADV	28	advmod
31	del	ADP	30	case
32	0,80%	SYM	30	nmod
33	)	PUNCT	30	punct
34	en	ADP	36	case
35	el	DET	36	det
36	índice	NOUN	28	nmod
37	general	ADJ	36	amod
38	.	PUNCT	3	punct