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:
Destacaron las 57 operaciones por 1.014.630.448,55 bolívares (1,5 millones de dólares) con títulos de la Electricidad de Caracas, que cerraron en 185,00 bolívares, un 0,54 por ciento por debajo del precio de apertura.
Postion	Tokenization
1	Destacaron
2	las
3	57
4	operaciones
5	por
6	1.014.630.448,55
7	bolívares
8	(
9	1,5
10	millones
11	de
12	dólares
13	)
14	con
15	títulos
16	de
17	la
18	Electricidad
19	de
20	Caracas
21	,
22	que
23	cerraron
24	en
25	185,00
26	bolívares
27	,
28	un
29	0,54
30	por
31	ciento
32	por
33	debajo
34	del
35	precio
36	de
37	apertura
38	.
Position	Tokenization	UPOS	Head	Deprel
1	Destacaron	VERB	0	root
2	las	DET	3	det
3	57	NUM	4	nummod
4	operaciones	NOUN	1	nsubj
5	por	ADP	7	case
6	1.014.630.448,55	NUM	7	nummod
7	bolívares	NOUN	4	nmod
8	(	PUNCT	10	punct
9	1,5	NUM	10	nummod
10	millones	NOUN	7	appos
11	de	ADP	12	case
12	dólares	NOUN	10	nmod
13	)	PUNCT	10	punct
14	con	ADP	15	case
15	títulos	NOUN	4	nmod
16	de	ADP	18	case
17	la	DET	18	det
18	Electricidad	PROPN	15	nmod
19	de	ADP	20	case
20	Caracas	PROPN	18	flat
21	,	PUNCT	23	punct
22	que	PRON	23	nsubj
23	cerraron	VERB	4	acl
24	en	ADP	26	case
25	185,00	NUM	26	nummod
26	bolívares	NOUN	23	obl
27	,	PUNCT	29	punct
28	un	DET	29	det
29	0,54	NUM	26	appos
30	por	ADP	31	case
31	ciento	NUM	29	compound
32	por	ADP	35	case
33	debajo	ADV	32	fixed
34	del	ADP	32	fixed
35	precio	NOUN	29	nmod
36	de	ADP	37	case
37	apertura	NOUN	35	nmod
38	.	PUNCT	1	punct