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:
Es porque con el correctivo voy a mejorar mi respiración ", explicó con la humildad de siempre el" niño terrible "de la selección brasileña.
Postion	Tokenization
1	Es
2	porque
3	con
4	el
5	correctivo
6	voy
7	a
8	mejorar
9	mi
10	respiración
11	"
12	,
13	explicó
14	con
15	la
16	humildad
17	de
18	siempre
19	el
20	"
21	niño
22	terrible
23	"
24	de
25	la
26	selección
27	brasileña
28	.
Position	Tokenization	UPOS	Head	Deprel
1	Es	AUX	13	ccomp
2	porque	SCONJ	8	mark
3	con	ADP	5	case
4	el	DET	5	det
5	correctivo	NOUN	8	obl
6	voy	AUX	8	aux
7	a	ADP	8	mark
8	mejorar	VERB	1	advcl
9	mi	DET	10	det
10	respiración	NOUN	8	obj
11	"	PUNCT	1	punct
12	,	PUNCT	1	punct
13	explicó	VERB	0	root
14	con	ADP	16	case
15	la	DET	16	det
16	humildad	NOUN	13	obl
17	de	ADP	16	advmod
18	siempre	ADV	17	fixed
19	el	DET	21	det
20	"	PUNCT	21	punct
21	niño	NOUN	13	nsubj
22	terrible	ADJ	21	amod
23	"	PUNCT	21	punct
24	de	ADP	26	case
25	la	DET	26	det
26	selección	NOUN	21	nmod
27	brasileña	ADJ	26	amod
28	.	PUNCT	13	punct