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:
Los cerca de 48.000 "torcedores" del Vasco da Gama respondieron con vehementes gritos a la osadía de sus rivales e hicieron del Maracaná una verdadera Torre de Babel.
Postion	Tokenization
1	Los
2	cerca
3	de
4	48.000
5	"
6	torcedores
7	"
8	del
9	Vasco
10	da
11	Gama
12	respondieron
13	con
14	vehementes
15	gritos
16	a
17	la
18	osadía
19	de
20	sus
21	rivales
22	e
23	hicieron
24	del
25	Maracaná
26	una
27	verdadera
28	Torre
29	de
30	Babel
31	.
Position	Tokenization	UPOS	Head	Deprel
1	Los	DET	4	det
2	cerca	ADV	4	advmod
3	de	ADP	2	fixed
4	48.000	NUM	6	nummod
5	"	PUNCT	6	punct
6	torcedores	NOUN	12	nsubj
7	"	PUNCT	6	punct
8	del	ADP	9	case
9	Vasco	PROPN	6	nmod
10	da	ADP	11	case
11	Gama	PROPN	9	flat
12	respondieron	VERB	0	root
13	con	ADP	15	case
14	vehementes	ADJ	15	amod
15	gritos	NOUN	12	obl
16	a	ADP	18	case
17	la	DET	18	det
18	osadía	NOUN	12	obj
19	de	ADP	21	case
20	sus	DET	21	det
21	rivales	NOUN	18	nmod
22	e	CCONJ	23	cc
23	hicieron	VERB	12	conj
24	del	ADP	25	case
25	Maracaná	PROPN	23	obj
26	una	DET	28	det
27	verdadera	ADJ	28	amod
28	Torre	PROPN	23	obj
29	de	ADP	30	case
30	Babel	PROPN	28	flat
31	.	PUNCT	12	punct