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:
Hasta su aparición letal en la Copa América, Ronaldinho había destacado en las selecciones juveniles de Brasil y era un promisorio alternante en la plantilla profesional del Gremio.
Postion	Tokenization
1	Hasta
2	su
3	aparición
4	letal
5	en
6	la
7	Copa
8	América
9	,
10	Ronaldinho
11	había
12	destacado
13	en
14	las
15	selecciones
16	juveniles
17	de
18	Brasil
19	y
20	era
21	un
22	promisorio
23	alternante
24	en
25	la
26	plantilla
27	profesional
28	del
29	Gremio
30	.
Position	Tokenization	UPOS	Head	Deprel
1	Hasta	ADP	3	case
2	su	DET	3	det
3	aparición	NOUN	12	obl
4	letal	ADJ	3	amod
5	en	ADP	7	case
6	la	DET	7	det
7	Copa	PROPN	3	nmod
8	América	PROPN	7	flat
9	,	PUNCT	3	punct
10	Ronaldinho	PROPN	12	nsubj
11	había	AUX	12	aux
12	destacado	VERB	0	root
13	en	ADP	15	case
14	las	DET	15	det
15	selecciones	NOUN	12	obl
16	juveniles	ADJ	15	amod
17	de	ADP	18	case
18	Brasil	PROPN	15	nmod
19	y	CCONJ	22	cc
20	era	AUX	22	cop
21	un	DET	22	det
22	promisorio	ADJ	12	conj
23	alternante	ADJ	22	amod
24	en	ADP	26	case
25	la	DET	26	det
26	plantilla	NOUN	22	obl
27	profesional	ADJ	26	amod
28	del	ADP	29	case
29	Gremio	PROPN	26	nmod
30	.	PUNCT	12	punct