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:
El bigote es algo muy serio y no puede tomarse a la ligera, y los bigotudos saben de la trascendencia de su opción: el bigote es para toda la vida.
Postion	Tokenization
1	El
2	bigote
3	es
4	algo
5	muy
6	serio
7	y
8	no
9	puede
10	tomarse
11	tomar
12	se
13	a
14	la
15	ligera
16	,
17	y
18	los
19	bigotudos
20	saben
21	de
22	la
23	trascendencia
24	de
25	su
26	opción
27	:
28	el
29	bigote
30	es
31	para
32	toda
33	la
34	vida
35	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	2	det
2	bigote	NOUN	4	nsubj
3	es	AUX	4	cop
4	algo	PRON	0	root
5	muy	ADV	6	advmod
6	serio	ADJ	4	amod
7	y	CCONJ	10	cc
8	no	ADV	10	advmod
9	puede	AUX	10	aux
10	tomarse	_	None	_
11	tomar	VERB	4	conj
12	se	PRON	10	expl:pass
13	a	ADP	10	advmod
14	la	DET	12	fixed
15	ligera	NOUN	12	fixed
16	,	PUNCT	19	punct
17	y	CCONJ	19	cc
18	los	DET	18	det
19	bigotudos	NOUN	19	nsubj
20	saben	VERB	4	conj
21	de	ADP	22	case
22	la	DET	22	det
23	trascendencia	NOUN	19	obj
24	de	ADP	25	case
25	su	DET	25	det
26	opción	NOUN	22	nmod
27	:	PUNCT	33	punct
28	el	DET	28	det
29	bigote	NOUN	33	nsubj
30	es	AUX	33	cop
31	para	ADP	33	case
32	toda	DET	32	det
33	la	DET	33	det
34	vida	NOUN	4	advcl
35	.	PUNCT	4	punct