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:
Las llanuras de la región de La Vienne no darán opción a ninguno de los candidatos a la victoria final a poder esconderse en el interior del pelotón.
Postion	Tokenization
1	Las
2	llanuras
3	de
4	la
5	región
6	de
7	La
8	Vienne
9	no
10	darán
11	opción
12	a
13	ninguno
14	de
15	los
16	candidatos
17	a
18	la
19	victoria
20	final
21	a
22	poder
23	esconderse
24	esconder
25	se
26	en
27	el
28	interior
29	del
30	pelotón
31	.
Position	Tokenization	UPOS	Head	Deprel
1	Las	DET	2	det
2	llanuras	NOUN	10	nsubj
3	de	ADP	5	case
4	la	DET	5	det
5	región	NOUN	2	nmod
6	de	ADP	8	case
7	La	DET	8	det
8	Vienne	PROPN	5	nmod
9	no	ADV	10	advmod
10	darán	VERB	0	root
11	opción	NOUN	10	iobj
12	a	ADP	13	case
13	ninguno	PRON	10	iobj
14	de	ADP	16	case
15	los	DET	16	det
16	candidatos	NOUN	13	nmod
17	a	ADP	19	case
18	la	DET	19	det
19	victoria	NOUN	16	nmod
20	final	ADJ	19	amod
21	a	ADP	23	mark
22	poder	AUX	23	aux
23	esconderse	_	None	_
24	esconder	VERB	10	xcomp
25	se	PRON	23	obj
26	en	ADP	27	case
27	el	DET	27	det
28	interior	NOUN	23	obl
29	del	ADP	29	case
30	pelotón	NOUN	27	nmod
31	.	PUNCT	10	punct