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 ha avanzado el 9% en el conjunto del mes, hasta los 962,58 puntos.
Postion	Tokenization
1	El
2	índice
3	general
4	de
5	la
6	Bolsa
7	de
8	Madrid
9	ha
10	avanzado
11	el
12	9%
13	en
14	el
15	conjunto
16	del
17	mes
18	,
19	hasta
20	los
21	962,58
22	puntos
23	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	2	det
2	índice	NOUN	10	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	ha	AUX	10	aux
10	avanzado	VERB	0	root
11	el	DET	12	det
12	9%	SYM	10	obj
13	en	ADP	15	case
14	el	DET	15	det
15	conjunto	NOUN	10	obl
16	del	ADP	17	case
17	mes	NOUN	15	nmod
18	,	PUNCT	22	punct
19	hasta	ADP	22	case
20	los	DET	21	det
21	962,58	NUM	22	nummod
22	puntos	NOUN	10	obl
23	.	PUNCT	10	punct