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:
Quien hoy se vista en el parque temático de Futuroscope con el primer jersey amarillo de la ronda francesa dará un serio aviso a sus contrincantes.
Postion	Tokenization
1	Quien
2	hoy
3	se
4	vista
5	en
6	el
7	parque
8	temático
9	de
10	Futuroscope
11	con
12	el
13	primer
14	jersey
15	amarillo
16	de
17	la
18	ronda
19	francesa
20	dará
21	un
22	serio
23	aviso
24	a
25	sus
26	contrincantes
27	.
Position	Tokenization	UPOS	Head	Deprel
1	Quien	PRON	4	nsubj
2	hoy	ADV	4	advmod
3	se	PRON	4	obj
4	vista	VERB	20	csubj
5	en	ADP	7	case
6	el	DET	7	det
7	parque	NOUN	4	obl
8	temático	ADJ	7	amod
9	de	ADP	10	case
10	Futuroscope	PROPN	7	nmod
11	con	ADP	14	case
12	el	DET	14	det
13	primer	ADJ	14	amod
14	jersey	NOUN	4	obl
15	amarillo	ADJ	14	amod
16	de	ADP	18	case
17	la	DET	18	det
18	ronda	NOUN	14	nmod
19	francesa	ADJ	18	amod
20	dará	VERB	0	root
21	un	DET	23	det
22	serio	ADJ	23	amod
23	aviso	NOUN	20	obj
24	a	ADP	26	case
25	sus	DET	26	det
26	contrincantes	NOUN	20	obj
27	.	PUNCT	20	punct