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:
Cuanto menos atención se presta al texto, más se acentúan en el personaje exento los rasgos menos inocentes de un prototipo sobrecargado.
Postion	Tokenization
1	Cuanto
2	menos
3	atención
4	se
5	presta
6	al
7	texto
8	,
9	más
10	se
11	acentúan
12	en
13	el
14	personaje
15	exento
16	los
17	rasgos
18	menos
19	inocentes
20	de
21	un
22	prototipo
23	sobrecargado
24	.
Position	Tokenization	UPOS	Head	Deprel
1	Cuanto	NOUN	5	cc
2	menos	ADV	1	fixed
3	atención	NOUN	5	obj
4	se	PRON	5	expl:pass
5	presta	VERB	0	root
6	al	ADP	7	case
7	texto	NOUN	5	obj
8	,	PUNCT	11	punct
9	más	ADV	11	cc
10	se	PRON	11	expl:pv
11	acentúan	VERB	5	conj
12	en	ADP	14	case
13	el	DET	14	det
14	personaje	NOUN	11	obl
15	exento	ADJ	14	amod
16	los	DET	17	det
17	rasgos	NOUN	11	nsubj
18	menos	ADV	19	advmod
19	inocentes	ADJ	17	amod
20	de	ADP	22	case
21	un	DET	22	det
22	prototipo	NOUN	17	nmod
23	sobrecargado	ADJ	22	amod
24	.	PUNCT	5	punct