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:
La entidad cerró 1999 con un balance total de 176.482 millones, el 7,24% superior, y ha incrementado su masa social en 2.002 personas.
Postion	Tokenization
1	La
2	entidad
3	cerró
4	1999
5	con
6	un
7	balance
8	total
9	de
10	176.482
11	millones
12	,
13	el
14	7,24%
15	superior
16	,
17	y
18	ha
19	incrementado
20	su
21	masa
22	social
23	en
24	2.002
25	personas
26	.
Position	Tokenization	UPOS	Head	Deprel
1	La	DET	2	det
2	entidad	NOUN	3	nsubj
3	cerró	VERB	0	root
4	1999	NOUN	3	obl
5	con	ADP	7	case
6	un	DET	7	det
7	balance	NOUN	3	obl
8	total	ADJ	7	amod
9	de	ADP	11	case
10	176.482	NUM	11	nummod
11	millones	NOUN	7	nmod
12	,	PUNCT	14	punct
13	el	DET	14	det
14	7,24%	SYM	11	appos
15	superior	ADJ	14	amod
16	,	PUNCT	19	punct
17	y	CCONJ	19	cc
18	ha	AUX	19	aux
19	incrementado	VERB	3	conj
20	su	DET	21	det
21	masa	NOUN	19	obj
22	social	ADJ	21	amod
23	en	ADP	25	case
24	2.002	NUM	25	nummod
25	personas	NOUN	19	obl
26	.	PUNCT	3	punct