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:
Tagliabue afirma que este nuevo mercado "interesará no sólo a los vecinos sino también a quienes se preocupan por la cultura gastronómica y quieren encontrar productos selectos".
Postion	Tokenization
1	Tagliabue
2	afirma
3	que
4	este
5	nuevo
6	mercado
7	"
8	interesará
9	no
10	sólo
11	a
12	los
13	vecinos
14	sino
15	también
16	a
17	quienes
18	se
19	preocupan
20	por
21	la
22	cultura
23	gastronómica
24	y
25	quieren
26	encontrar
27	productos
28	selectos
29	"
30	.
Position	Tokenization	UPOS	Head	Deprel
1	Tagliabue	PROPN	2	nsubj
2	afirma	VERB	0	root
3	que	SCONJ	8	mark
4	este	DET	6	det
5	nuevo	ADJ	6	amod
6	mercado	NOUN	8	nsubj
7	"	PUNCT	8	punct
8	interesará	VERB	2	ccomp
9	no	PART	13	cc
10	sólo	ADV	9	fixed
11	a	ADP	13	case
12	los	DET	13	det
13	vecinos	NOUN	8	obj
14	sino	CCONJ	19	cc
15	también	NOUN	14	fixed
16	a	ADP	19	mark
17	quienes	PRON	19	nsubj
18	se	PRON	19	expl:pv
19	preocupan	VERB	13	conj
20	por	ADP	22	case
21	la	DET	22	det
22	cultura	NOUN	19	obl
23	gastronómica	ADJ	22	amod
24	y	CCONJ	25	cc
25	quieren	VERB	19	conj
26	encontrar	VERB	25	xcomp
27	productos	NOUN	26	obj
28	selectos	ADJ	27	amod
29	"	PUNCT	8	punct
30	.	PUNCT	2	punct