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:
Una gitana le pide una flor en un mercadillo de Valladolid para luego advertirle en tono insinuante: "no creas que por esto te voy a votar".
Postion	Tokenization
1	Una
2	gitana
3	le
4	pide
5	una
6	flor
7	en
8	un
9	mercadillo
10	de
11	Valladolid
12	para
13	luego
14	advertirle
15	advertir
16	le
17	en
18	tono
19	insinuante
20	:
21	"
22	no
23	creas
24	que
25	por
26	esto
27	te
28	voy
29	a
30	votar
31	"
32	.
Position	Tokenization	UPOS	Head	Deprel
1	Una	DET	2	det
2	gitana	NOUN	4	nsubj
3	le	PRON	4	obj
4	pide	VERB	0	root
5	una	DET	6	det
6	flor	NOUN	4	obj
7	en	ADP	9	case
8	un	DET	9	det
9	mercadillo	NOUN	4	obl
10	de	ADP	11	case
11	Valladolid	PROPN	9	nmod
12	para	ADP	14	mark
13	luego	ADV	14	advmod
14	advertirle	_	None	_
15	advertir	VERB	4	advcl
16	le	PRON	14	obj
17	en	ADP	17	case
18	tono	NOUN	14	obl
19	insinuante	ADJ	17	amod
20	:	PUNCT	22	punct
21	"	PUNCT	22	punct
22	no	ADV	22	advmod
23	creas	VERB	14	ccomp
24	que	SCONJ	29	mark
25	por	ADP	25	case
26	esto	PRON	29	obl
27	te	PRON	29	obj
28	voy	AUX	29	aux
29	a	ADP	29	mark
30	votar	VERB	22	ccomp
31	"	PUNCT	22	punct
32	.	PUNCT	4	punct