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:
Pero pocos como Recio se atreven a lanzar un cuento infantil en el que el príncipe no se pirra por la buena de turno, sino por el esclavo musulmán.
Postion	Tokenization
1	Pero
2	pocos
3	como
4	Recio
5	se
6	atreven
7	a
8	lanzar
9	un
10	cuento
11	infantil
12	en
13	el
14	que
15	el
16	príncipe
17	no
18	se
19	pirra
20	por
21	la
22	buena
23	de
24	turno
25	,
26	sino
27	por
28	el
29	esclavo
30	musulmán
31	.
Position	Tokenization	UPOS	Head	Deprel
1	Pero	CCONJ	6	advmod
2	pocos	PRON	6	nsubj
3	como	SCONJ	4	mark
4	Recio	PROPN	2	nmod
5	se	PRON	6	expl:pv
6	atreven	VERB	0	root
7	a	ADP	8	mark
8	lanzar	VERB	6	xcomp
9	un	DET	10	det
10	cuento	NOUN	8	obj
11	infantil	ADJ	10	amod
12	en	ADP	14	case
13	el	DET	14	det
14	que	PRON	19	obl
15	el	DET	16	det
16	príncipe	NOUN	19	nsubj
17	no	ADV	19	advmod
18	se	PRON	19	expl:pv
19	pirra	VERB	10	acl
20	por	ADP	22	case
21	la	DET	22	det
22	buena	ADJ	19	obj
23	de	ADP	24	case
24	turno	NOUN	22	nmod
25	,	PUNCT	29	punct
26	sino	CCONJ	29	cc
27	por	ADP	29	case
28	el	DET	29	det
29	esclavo	NOUN	19	conj
30	musulmán	ADJ	29	amod
31	.	PUNCT	6	punct