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:
Localicé a José Sanchís, el creador de Pumby, que hacía 30 años que no cogía el lápiz, y le pedí que me dibujara a un gatito con esa discapacidad.
Postion	Tokenization
1	Localicé
2	a
3	José
4	Sanchís
5	,
6	el
7	creador
8	de
9	Pumby
10	,
11	que
12	hacía
13	30
14	años
15	que
16	no
17	cogía
18	el
19	lápiz
20	,
21	y
22	le
23	pedí
24	que
25	me
26	dibujara
27	a
28	un
29	gatito
30	con
31	esa
32	discapacidad
33	.
Position	Tokenization	UPOS	Head	Deprel
1	Localicé	VERB	0	root
2	a	ADP	3	case
3	José	PROPN	1	obj
4	Sanchís	PROPN	3	flat
5	,	PUNCT	7	punct
6	el	DET	7	det
7	creador	NOUN	3	appos
8	de	ADP	9	case
9	Pumby	PROPN	7	nmod
10	,	PUNCT	7	punct
11	que	PRON	17	nsubj
12	hacía	VERB	17	advcl
13	30	NUM	14	nummod
14	años	NOUN	12	obj
15	que	SCONJ	17	mark
16	no	ADV	17	advmod
17	cogía	VERB	3	acl
18	el	DET	19	det
19	lápiz	NOUN	17	obj
20	,	PUNCT	23	punct
21	y	CCONJ	23	cc
22	le	PRON	23	iobj
23	pedí	VERB	1	conj
24	que	SCONJ	26	mark
25	me	PRON	26	iobj
26	dibujara	VERB	23	ccomp
27	a	ADP	29	case
28	un	DET	29	det
29	gatito	NOUN	26	obj
30	con	ADP	32	case
31	esa	DET	32	det
32	discapacidad	NOUN	29	nmod
33	.	PUNCT	1	punct