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:
Sonetos clásicos, perfectamente formales, o expresiones poéticas de las clases populares, pero experimentando siempre para buscar nuevas formas, logrando con sus malabarismos verbales efectos sorprendentes del lenguaje y dando al lector con su mente de ilusionista imágenes del todo nuevas.
Postion	Tokenization
1	Sonetos
2	clásicos
3	,
4	perfectamente
5	formales
6	,
7	o
8	expresiones
9	poéticas
10	de
11	las
12	clases
13	populares
14	,
15	pero
16	experimentando
17	siempre
18	para
19	buscar
20	nuevas
21	formas
22	,
23	logrando
24	con
25	sus
26	malabarismos
27	verbales
28	efectos
29	sorprendentes
30	del
31	lenguaje
32	y
33	dando
34	al
35	lector
36	con
37	su
38	mente
39	de
40	ilusionista
41	imágenes
42	del
43	todo
44	nuevas
45	.
Position	Tokenization	UPOS	Head	Deprel
1	Sonetos	NOUN	0	root
2	clásicos	ADJ	1	amod
3	,	PUNCT	2	punct
4	perfectamente	ADV	5	advmod
5	formales	ADJ	2	amod
6	,	PUNCT	8	punct
7	o	CCONJ	8	cc
8	expresiones	NOUN	1	conj
9	poéticas	ADJ	8	amod
10	de	ADP	12	case
11	las	DET	12	det
12	clases	NOUN	8	nmod
13	populares	ADJ	12	amod
14	,	PUNCT	8	punct
15	pero	CCONJ	8	cc
16	experimentando	VERB	8	orphan
17	siempre	ADV	16	advmod
18	para	ADP	19	mark
19	buscar	VERB	16	advcl
20	nuevas	ADJ	21	amod
21	formas	NOUN	19	obj
22	,	PUNCT	23	punct
23	logrando	VERB	16	advcl
24	con	ADP	26	case
25	sus	DET	26	det
26	malabarismos	NOUN	23	obl
27	verbales	ADJ	26	amod
28	efectos	NOUN	23	obj
29	sorprendentes	ADJ	28	amod
30	del	ADP	31	case
31	lenguaje	NOUN	28	nmod
32	y	CCONJ	33	cc
33	dando	VERB	16	conj
34	al	ADP	35	case
35	lector	NOUN	33	obj
36	con	ADP	38	case
37	su	DET	38	det
38	mente	NOUN	33	obl
39	de	ADP	40	case
40	ilusionista	NOUN	38	nmod
41	imágenes	NOUN	33	obj
42	del	ADP	44	advmod
43	todo	PRON	42	fixed
44	nuevas	ADJ	41	amod
45	.	PUNCT	1	punct