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 todo una invención de la prensa, ha declarado la ex tenista, quien como otros famosos ha utilizado su página de Internet para aclarar las cosas.
Postion	Tokenization
1	"
2	Es
3	todo
4	una
5	invención
6	de
7	la
8	prensa
9	,
10	ha
11	declarado
12	la
13	ex
14	tenista
15	,
16	quien
17	como
18	otros
19	famosos
20	ha
21	utilizado
22	su
23	página
24	de
25	Internet
26	para
27	aclarar
28	las
29	cosas
30	.
Position	Tokenization	UPOS	Head	Deprel
1	"	PUNCT	5	punct
2	Es	AUX	5	cop
3	todo	PRON	5	nsubj
4	una	DET	5	det
5	invención	NOUN	11	ccomp
6	de	ADP	8	case
7	la	DET	8	det
8	prensa	NOUN	5	nmod
9	,	PUNCT	5	punct
10	ha	AUX	11	aux
11	declarado	VERB	0	root
12	la	DET	14	det
13	ex	ADJ	14	amod
14	tenista	NOUN	11	nsubj
15	,	PUNCT	21	punct
16	quien	PRON	21	nsubj
17	como	SCONJ	19	mark
18	otros	DET	19	det
19	famosos	ADJ	21	advmod
20	ha	AUX	21	aux
21	utilizado	VERB	14	acl
22	su	DET	23	det
23	página	NOUN	21	obj
24	de	ADP	25	case
25	Internet	PROPN	23	nmod
26	para	ADP	27	mark
27	aclarar	VERB	21	advcl
28	las	DET	29	det
29	cosas	NOUN	27	obj
30	.	PUNCT	11	punct