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 quedó eliminado de las listas y ya te confirmo que otro venezolano, Yober Ortega, disputará la vacante corona interina ante el japonés Kozo Ishii", aseveró Mendoza.
Postion	Tokenization
1	"
2	Cermeño
3	quedó
4	eliminado
5	de
6	las
7	listas
8	y
9	ya
10	te
11	confirmo
12	que
13	otro
14	venezolano
15	,
16	Yober
17	Ortega
18	,
19	disputará
20	la
21	vacante
22	corona
23	interina
24	ante
25	el
26	japonés
27	Kozo
28	Ishii
29	"
30	,
31	aseveró
32	Mendoza
33	.
Position	Tokenization	UPOS	Head	Deprel
1	"	PUNCT	3	punct
2	Cermeño	PROPN	3	nsubj
3	quedó	VERB	31	ccomp
4	eliminado	ADJ	3	obj
5	de	ADP	7	case
6	las	DET	7	det
7	listas	NOUN	4	obl
8	y	CCONJ	11	cc
9	ya	ADV	11	advmod
10	te	PRON	11	iobj
11	confirmo	VERB	3	conj
12	que	SCONJ	19	mark
13	otro	DET	14	det
14	venezolano	NOUN	19	nsubj
15	,	PUNCT	16	punct
16	Yober	PROPN	14	appos
17	Ortega	PROPN	16	flat
18	,	PUNCT	16	punct
19	disputará	VERB	11	ccomp
20	la	DET	22	det
21	vacante	ADJ	22	amod
22	corona	NOUN	19	obj
23	interina	ADJ	22	amod
24	ante	ADP	27	case
25	el	DET	27	det
26	japonés	ADJ	27	amod
27	Kozo	PROPN	19	obl
28	Ishii	PROPN	27	flat
29	"	PUNCT	3	punct
30	,	PUNCT	3	punct
31	aseveró	VERB	0	root
32	Mendoza	PROPN	31	nsubj
33	.	PUNCT	31	punct