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 general de la Bolsa de Madrid cerró hoy con un avance de 16,33 puntos, equivalentes a un 1,65 por ciento, hasta fijarse en los 1.007,84 puntos, en tanto que el Ibex-35 subió 175,20 puntos, un 1,59 por ciento, y se colocó en los 11.206,60.
Postion	Tokenization
1	El
2	índice
3	general
4	de
5	la
6	Bolsa
7	de
8	Madrid
9	cerró
10	hoy
11	con
12	un
13	avance
14	de
15	16,33
16	puntos
17	,
18	equivalentes
19	a
20	un
21	1,65
22	por
23	ciento
24	,
25	hasta
26	fijarse
27	fijar
28	se
29	en
30	los
31	1.007,84
32	puntos
33	,
34	en
35	tanto
36	que
37	el
38	Ibex-35
39	subió
40	175,20
41	puntos
42	,
43	un
44	1,59
45	por
46	ciento
47	,
48	y
49	se
50	colocó
51	en
52	los
53	11.206,60
54	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	2	det
2	índice	NOUN	9	nsubj
3	general	ADJ	2	amod
4	de	ADP	6	case
5	la	DET	6	det
6	Bolsa	PROPN	2	nmod
7	de	ADP	8	case
8	Madrid	PROPN	6	flat
9	cerró	VERB	33	parataxis
10	hoy	ADV	9	advmod
11	con	ADP	13	case
12	un	DET	13	det
13	avance	NOUN	9	obl
14	de	ADP	16	case
15	16,33	NUM	16	nummod
16	puntos	NOUN	13	nmod
17	,	PUNCT	18	punct
18	equivalentes	ADJ	16	amod
19	a	ADP	21	case
20	un	DET	21	det
21	1,65	NUM	18	nummod
22	por	ADP	23	case
23	ciento	NUM	21	compound
24	,	PUNCT	26	punct
25	hasta	ADP	26	mark
26	fijarse	_	None	_
27	fijar	VERB	13	acl
28	se	PRON	26	expl:pv
29	en	ADP	31	case
30	los	DET	30	det
31	1.007,84	NUM	31	nummod
32	puntos	NOUN	26	obl
33	,	PUNCT	33	punct
34	en	ADP	0	root
35	tanto	NOUN	33	fixed
36	que	SCONJ	33	fixed
37	el	DET	37	det
38	Ibex-35	NUM	38	nsubj
39	subió	VERB	33	parataxis
40	175,20	NUM	40	nummod
41	puntos	NOUN	38	obj
42	,	PUNCT	43	punct
43	un	DET	43	det
44	1,59	NUM	40	appos
45	por	ADP	45	case
46	ciento	NUM	43	compound
47	,	PUNCT	49	punct
48	y	CCONJ	49	cc
49	se	PRON	49	expl:pv
50	colocó	VERB	38	conj
51	en	ADP	52	case
52	los	DET	52	det
53	11.206,60	NUM	49	obj
54	.	PUNCT	33	punct