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 primer trimestre, el saldo de la cuenta financiera se cerró con unas salidas netas de 1,63 billones, una cantidad muy importante comparada con los 375.000 millones de 1998.
Postion	Tokenization
1	En
2	el
3	primer
4	trimestre
5	,
6	el
7	saldo
8	de
9	la
10	cuenta
11	financiera
12	se
13	cerró
14	con
15	unas
16	salidas
17	netas
18	de
19	1,63
20	billones
21	,
22	una
23	cantidad
24	muy
25	importante
26	comparada
27	con
28	los
29	375.000
30	millones
31	de
32	1998
33	.
Position	Tokenization	UPOS	Head	Deprel
1	En	ADP	4	case
2	el	DET	4	det
3	primer	ADJ	4	amod
4	trimestre	NOUN	13	obl
5	,	PUNCT	4	punct
6	el	DET	7	det
7	saldo	NOUN	13	nsubj
8	de	ADP	10	case
9	la	DET	10	det
10	cuenta	NOUN	7	nmod
11	financiera	ADJ	10	amod
12	se	PRON	13	expl:pass
13	cerró	VERB	0	root
14	con	ADP	16	case
15	unas	DET	16	det
16	salidas	NOUN	13	obl
17	netas	ADJ	16	amod
18	de	ADP	20	case
19	1,63	NUM	20	nummod
20	billones	NOUN	16	nmod
21	,	PUNCT	23	punct
22	una	DET	23	det
23	cantidad	NOUN	20	appos
24	muy	ADV	25	advmod
25	importante	ADJ	23	amod
26	comparada	ADJ	23	amod
27	con	ADP	30	case
28	los	DET	29	det
29	375.000	NUM	30	nummod
30	millones	NOUN	26	obj
31	de	ADP	32	case
32	1998	NOUN	30	nmod
33	.	PUNCT	13	punct