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:
"Voy a darle una merecida lección a Gamboa, y creo que volveré nuevamente con el título en el bolsillo", aseveró el campeón mundial.
Postion	Tokenization
1	"
2	Voy
3	a
4	darle
5	dar
6	le
7	una
8	merecida
9	lección
10	a
11	Gamboa
12	,
13	y
14	creo
15	que
16	volveré
17	nuevamente
18	con
19	el
20	título
21	en
22	el
23	bolsillo
24	"
25	,
26	aseveró
27	el
28	campeón
29	mundial
30	.
Position	Tokenization	UPOS	Head	Deprel
1	"	PUNCT	4	punct
2	Voy	AUX	4	aux
3	a	ADP	4	mark
4	darle	_	None	_
5	dar	VERB	25	xcomp
6	le	PRON	4	obj
7	una	DET	8	det
8	merecida	ADJ	8	amod
9	lección	NOUN	4	obj
10	a	ADP	10	case
11	Gamboa	PROPN	4	obj
12	,	PUNCT	13	punct
13	y	CCONJ	13	cc
14	creo	VERB	4	conj
15	que	SCONJ	15	mark
16	volveré	VERB	13	ccomp
17	nuevamente	ADV	15	advmod
18	con	ADP	19	case
19	el	DET	19	det
20	título	NOUN	15	obl
21	en	ADP	22	case
22	el	DET	22	det
23	bolsillo	NOUN	15	obl
24	"	PUNCT	4	punct
25	,	PUNCT	4	punct
26	aseveró	VERB	0	root
27	el	DET	27	det
28	campeón	NOUN	25	nsubj
29	mundial	ADJ	27	amod
30	.	PUNCT	25	punct