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 un mundo como el de la moda, en el que la gente tiende a tomarse tan en serio, debe de ser gratificante echar un paso atrás alguna vez y burlarse de todo.
Postion	Tokenization
1	En
2	un
3	mundo
4	como
5	el
6	de
7	la
8	moda
9	,
10	en
11	el
12	que
13	la
14	gente
15	tiende
16	a
17	tomarse
18	tomar
19	se
20	tan
21	en
22	serio
23	,
24	debe
25	de
26	ser
27	gratificante
28	echar
29	un
30	paso
31	atrás
32	alguna
33	vez
34	y
35	burlarse
36	burlar
37	se
38	de
39	todo
40	.
Position	Tokenization	UPOS	Head	Deprel
1	En	ADP	3	case
2	un	DET	3	det
3	mundo	NOUN	26	obl
4	como	SCONJ	5	mark
5	el	DET	3	det
6	de	ADP	5	case
7	la	DET	8	det
8	moda	NOUN	5	nmod
9	,	PUNCT	15	punct
10	en	ADP	12	case
11	el	DET	12	det
12	que	PRON	15	obl
13	la	DET	14	det
14	gente	NOUN	15	nsubj
15	tiende	VERB	3	acl
16	a	ADP	17	mark
17	tomarse	_	None	_
18	tomar	VERB	15	xcomp
19	se	PRON	17	obj
20	tan	ADV	20	advmod
21	en	ADP	17	advmod
22	serio	NOUN	20	fixed
23	,	PUNCT	3	punct
24	debe	AUX	26	aux
25	de	ADP	26	case
26	ser	AUX	26	cop
27	gratificante	ADJ	0	root
28	echar	VERB	26	csubj
29	un	DET	29	det
30	paso	NOUN	27	obj
31	atrás	ADV	29	advmod
32	alguna	DET	32	det
33	vez	NOUN	27	obl
34	y	CCONJ	34	cc
35	burlarse	_	None	_
36	burlar	VERB	27	conj
37	se	PRON	34	expl:pv
38	de	ADP	37	case
39	todo	PRON	34	obj
40	.	PUNCT	26	punct