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:
En el mercado electrónico Redibook, que opera una vez que las bolsas tradicionales cierran, las acciones de JP Morgan ganaban 16,25 dólares a 185,25 dólares y las de Chase Manhattan bajaban 4,63 dólares a 52,88 dólares.
Postion	Tokenization
1	En
2	el
3	mercado
4	electrónico
5	Redibook
6	,
7	que
8	opera
9	una
10	vez
11	que
12	las
13	bolsas
14	tradicionales
15	cierran
16	,
17	las
18	acciones
19	de
20	JP
21	Morgan
22	ganaban
23	16,25
24	dólares
25	a
26	185,25
27	dólares
28	y
29	las
30	de
31	Chase
32	Manhattan
33	bajaban
34	4,63
35	dólares
36	a
37	52,88
38	dólares
39	.
Position	Tokenization	UPOS	Head	Deprel
1	En	ADP	3	case
2	el	DET	3	det
3	mercado	NOUN	22	obl
4	electrónico	ADJ	3	amod
5	Redibook	PROPN	3	appos
6	,	PUNCT	8	punct
7	que	PRON	8	nsubj
8	opera	VERB	5	acl
9	una	DET	15	mark
10	vez	NOUN	9	fixed
11	que	SCONJ	9	fixed
12	las	DET	13	det
13	bolsas	NOUN	15	nsubj
14	tradicionales	ADJ	13	amod
15	cierran	VERB	8	advcl
16	,	PUNCT	8	punct
17	las	DET	18	det
18	acciones	NOUN	22	nsubj
19	de	ADP	20	case
20	JP	PROPN	18	nmod
21	Morgan	PROPN	20	flat
22	ganaban	VERB	0	root
23	16,25	NUM	24	nummod
24	dólares	NOUN	22	obj
25	a	ADP	27	case
26	185,25	NUM	27	nummod
27	dólares	NOUN	22	obl
28	y	CCONJ	33	cc
29	las	DET	33	det
30	de	ADP	29	case
31	Chase	PROPN	29	nsubj
32	Manhattan	PROPN	31	flat
33	bajaban	VERB	22	conj
34	4,63	NUM	35	nummod
35	dólares	NOUN	33	obj
36	a	ADP	38	case
37	52,88	NUM	38	nummod
38	dólares	NOUN	33	obl
39	.	PUNCT	22	punct