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:
La propia novela cervantina abunda en trazos caricaturescos que si son tomados en serio como modelo pueden propiciar peligrosas distorsiones en la idealización del héroe.
Postion	Tokenization
1	La
2	propia
3	novela
4	cervantina
5	abunda
6	en
7	trazos
8	caricaturescos
9	que
10	si
11	son
12	tomados
13	en
14	serio
15	como
16	modelo
17	pueden
18	propiciar
19	peligrosas
20	distorsiones
21	en
22	la
23	idealización
24	del
25	héroe
26	.
Position	Tokenization	UPOS	Head	Deprel
1	La	DET	3	det
2	propia	DET	1	det
3	novela	NOUN	5	nsubj
4	cervantina	ADJ	3	amod
5	abunda	VERB	0	root
6	en	ADP	7	case
7	trazos	NOUN	5	obj
8	caricaturescos	ADJ	7	amod
9	que	PRON	18	nsubj
10	si	SCONJ	12	mark
11	son	AUX	12	aux
12	tomados	VERB	18	advcl
13	en	ADP	12	advmod
14	serio	NOUN	13	fixed
15	como	SCONJ	16	mark
16	modelo	NOUN	12	obl
17	pueden	AUX	18	aux
18	propiciar	VERB	7	acl
19	peligrosas	ADJ	20	amod
20	distorsiones	NOUN	18	obj
21	en	ADP	23	case
22	la	DET	23	det
23	idealización	NOUN	18	obl
24	del	ADP	25	case
25	héroe	NOUN	23	nmod
26	.	PUNCT	5	punct