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 S & P500, que evalúa 500 empresas, y que algunos analistas consideran más representativo del mercado que el Dow Jones, bajó 0,60 puntos, hasta los 1.424,37.
Postion	Tokenization
1	El
2	S
3	&
4	P500
5	,
6	que
7	evalúa
8	500
9	empresas
10	,
11	y
12	que
13	algunos
14	analistas
15	consideran
16	más
17	representativo
18	del
19	mercado
20	que
21	el
22	Dow
23	Jones
24	,
25	bajó
26	0,60
27	puntos
28	,
29	hasta
30	los
31	1.424,37
32	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	2	det
2	S	PROPN	25	nsubj
3	&	PROPN	2	flat
4	P500	PROPN	2	flat
5	,	PUNCT	7	punct
6	que	PRON	7	nsubj
7	evalúa	VERB	2	acl
8	500	NUM	9	nummod
9	empresas	NOUN	7	obj
10	,	PUNCT	15	punct
11	y	CCONJ	15	cc
12	que	PRON	15	obj
13	algunos	DET	14	det
14	analistas	NOUN	15	nsubj
15	consideran	VERB	7	conj
16	más	ADV	17	advmod
17	representativo	ADJ	15	obj
18	del	ADP	19	case
19	mercado	NOUN	17	nmod
20	que	SCONJ	22	mark
21	el	DET	22	det
22	Dow	PROPN	17	obl
23	Jones	PROPN	22	flat
24	,	PUNCT	7	punct
25	bajó	VERB	0	root
26	0,60	NUM	27	nummod
27	puntos	NOUN	25	obj
28	,	PUNCT	31	punct
29	hasta	ADP	31	case
30	los	DET	31	det
31	1.424,37	NUM	25	obl
32	.	PUNCT	25	punct