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 equipo de Tagliabue ha hecho pruebas con judías verdes, tomates y naranjas e incluso nubes, pero al final prosperará la idea de varias frutas estampadas y difuminadas entre la cerámica de los azulejos.
Postion	Tokenization
1	El
2	equipo
3	de
4	Tagliabue
5	ha
6	hecho
7	pruebas
8	con
9	judías
10	verdes
11	,
12	tomates
13	y
14	naranjas
15	e
16	incluso
17	nubes
18	,
19	pero
20	al
21	final
22	prosperará
23	la
24	idea
25	de
26	varias
27	frutas
28	estampadas
29	y
30	difuminadas
31	entre
32	la
33	cerámica
34	de
35	los
36	azulejos
37	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	2	det
2	equipo	NOUN	6	nsubj
3	de	ADP	4	case
4	Tagliabue	PROPN	2	nmod
5	ha	AUX	6	aux
6	hecho	VERB	0	root
7	pruebas	NOUN	6	obj
8	con	ADP	9	case
9	judías	NOUN	6	obl
10	verdes	ADJ	9	amod
11	,	PUNCT	12	punct
12	tomates	NOUN	9	conj
13	y	CCONJ	14	cc
14	naranjas	NOUN	9	conj
15	e	CCONJ	17	cc
16	incluso	ADV	17	advmod
17	nubes	NOUN	9	conj
18	,	PUNCT	22	punct
19	pero	CCONJ	22	cc
20	al	ADP	22	advmod
21	final	NOUN	20	fixed
22	prosperará	VERB	6	conj
23	la	DET	24	det
24	idea	NOUN	22	nsubj
25	de	ADP	27	case
26	varias	DET	27	det
27	frutas	NOUN	24	nmod
28	estampadas	ADJ	27	amod
29	y	CCONJ	30	cc
30	difuminadas	ADJ	28	conj
31	entre	ADP	33	case
32	la	DET	33	det
33	cerámica	NOUN	28	obl
34	de	ADP	36	case
35	los	DET	36	det
36	azulejos	NOUN	33	nmod
37	.	PUNCT	6	punct