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:
De ZZNM se habla mucho, su leyenda es utilizada como metáfora o como advertencia, enriquecida con episodios modernos, pero la novela de ZZNM es comparativamente muy poco leída.
Postion	Tokenization
1	De
2	ZZNM
3	se
4	habla
5	mucho
6	,
7	su
8	leyenda
9	es
10	utilizada
11	como
12	metáfora
13	o
14	como
15	advertencia
16	,
17	enriquecida
18	con
19	episodios
20	modernos
21	,
22	pero
23	la
24	novela
25	de
26	ZZNM
27	es
28	comparativamente
29	muy
30	poco
31	leída
32	.
Position	Tokenization	UPOS	Head	Deprel
1	De	ADP	2	case
2	ZZNM	PROPN	4	obj
3	se	PRON	4	expl:impers
4	habla	VERB	0	root
5	mucho	ADV	4	advmod
6	,	PUNCT	10	punct
7	su	DET	8	det
8	leyenda	NOUN	10	nsubj
9	es	AUX	10	aux
10	utilizada	VERB	4	advcl
11	como	SCONJ	12	mark
12	metáfora	NOUN	10	obl
13	o	CCONJ	15	cc
14	como	SCONJ	15	mark
15	advertencia	NOUN	12	conj
16	,	PUNCT	10	punct
17	enriquecida	VERB	10	advcl
18	con	ADP	19	case
19	episodios	NOUN	17	obl
20	modernos	ADJ	19	amod
21	,	PUNCT	10	punct
22	pero	CCONJ	31	cc
23	la	DET	24	det
24	novela	NOUN	31	nsubj
25	de	ADP	26	case
26	ZZNM	PROPN	24	nmod
27	es	AUX	31	aux
28	comparativamente	ADV	30	advmod
29	muy	ADV	28	advmod
30	poco	ADV	31	advmod
31	leída	VERB	4	conj
32	.	PUNCT	4	punct