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:
Sé que soy un feo simpático y así estoy muy contento ", manifestó el nuevo" matador "de los brasileños.
Postion	Tokenization
1	Sé
2	que
3	soy
4	un
5	feo
6	simpático
7	y
8	así
9	estoy
10	muy
11	contento
12	"
13	,
14	manifestó
15	el
16	nuevo
17	"
18	matador
19	"
20	de
21	los
22	brasileños
23	.
Position	Tokenization	UPOS	Head	Deprel
1	Sé	AUX	14	ccomp
2	que	SCONJ	5	mark
3	soy	AUX	5	cop
4	un	DET	5	det
5	feo	ADJ	1	ccomp
6	simpático	ADJ	5	amod
7	y	CCONJ	11	cc
8	así	ADV	11	advmod
9	estoy	AUX	11	cop
10	muy	ADV	11	advmod
11	contento	ADJ	1	conj
12	"	PUNCT	1	punct
13	,	PUNCT	1	punct
14	manifestó	VERB	0	root
15	el	DET	18	det
16	nuevo	ADJ	18	amod
17	"	PUNCT	18	punct
18	matador	NOUN	14	nsubj
19	"	PUNCT	18	punct
20	de	ADP	22	case
21	los	DET	22	det
22	brasileños	NOUN	18	nmod
23	.	PUNCT	14	punct