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:
Cermeño, muy superior ante un desconcertado Diaz, aseguró a EFE tras finalizar el compromiso, que su próximo combate será por el título oficial ante el mexicano Néstor Garza.
Postion	Tokenization
1	Cermeño
2	,
3	muy
4	superior
5	ante
6	un
7	desconcertado
8	Diaz
9	,
10	aseguró
11	a
12	EFE
13	tras
14	finalizar
15	el
16	compromiso
17	,
18	que
19	su
20	próximo
21	combate
22	será
23	por
24	el
25	título
26	oficial
27	ante
28	el
29	mexicano
30	Néstor
31	Garza
32	.
Position	Tokenization	UPOS	Head	Deprel
1	Cermeño	PROPN	10	nsubj
2	,	PUNCT	4	punct
3	muy	ADV	4	advmod
4	superior	ADJ	1	amod
5	ante	ADP	8	case
6	un	DET	8	det
7	desconcertado	ADJ	8	amod
8	Diaz	PROPN	4	nmod
9	,	PUNCT	4	punct
10	aseguró	VERB	0	root
11	a	ADP	12	case
12	EFE	PROPN	10	iobj
13	tras	ADP	14	mark
14	finalizar	VERB	10	advcl
15	el	DET	16	det
16	compromiso	NOUN	14	obj
17	,	PUNCT	25	punct
18	que	SCONJ	25	mark
19	su	DET	21	det
20	próximo	ADJ	21	amod
21	combate	NOUN	25	nsubj
22	será	AUX	25	cop
23	por	ADP	25	case
24	el	DET	25	det
25	título	NOUN	10	ccomp
26	oficial	ADJ	25	amod
27	ante	ADP	29	case
28	el	DET	29	det
29	mexicano	NOUN	25	obl
30	Néstor	PROPN	29	appos
31	Garza	PROPN	30	flat
32	.	PUNCT	10	punct