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:
En su día, ZZTO debió ser un libro desternillante, capaz de hacer saltar lágrimas de risa a gentes con menos remilgos y mejor estómago que nosotros.
Postion	Tokenization
1	En
2	su
3	día
4	,
5	ZZTO
6	debió
7	ser
8	un
9	libro
10	desternillante
11	,
12	capaz
13	de
14	hacer
15	saltar
16	lágrimas
17	de
18	risa
19	a
20	gentes
21	con
22	menos
23	remilgos
24	y
25	mejor
26	estómago
27	que
28	nosotros
29	.
Position	Tokenization	UPOS	Head	Deprel
1	En	ADP	3	case
2	su	DET	3	det
3	día	NOUN	9	obl
4	,	PUNCT	3	punct
5	ZZTO	PROPN	9	nsubj
6	debió	AUX	9	aux
7	ser	AUX	9	cop
8	un	DET	9	det
9	libro	NOUN	0	root
10	desternillante	ADJ	9	amod
11	,	PUNCT	10	punct
12	capaz	ADJ	10	amod
13	de	ADP	14	mark
14	hacer	VERB	12	acl
15	saltar	VERB	14	xcomp
16	lágrimas	NOUN	14	obj
17	de	ADP	18	case
18	risa	NOUN	16	nmod
19	a	ADP	20	case
20	gentes	NOUN	14	obj
21	con	ADP	23	case
22	menos	ADV	23	advmod
23	remilgos	NOUN	20	nmod
24	y	CCONJ	26	cc
25	mejor	ADJ	26	amod
26	estómago	NOUN	23	conj
27	que	SCONJ	28	mark
28	nosotros	PRON	23	nmod
29	.	PUNCT	9	punct