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:
Le plus cool, c'est que la piste est vraiment adhérente : rien à voir avec les pistes de kart en béton que j'ai vues partout !
Postion	Tokenization
1	Le
2	plus
3	cool
4	,
5	c'
6	est
7	que
8	la
9	piste
10	est
11	vraiment
12	adhérente
13	:
14	rien
15	à
16	voir
17	avec
18	les
19	pistes
20	de
21	kart
22	en
23	béton
24	que
25	j'
26	ai
27	vues
28	partout
29	!
Position	Tokenization	UPOS	Head	Deprel
1	Le	DET	3	det
2	plus	ADV	3	advmod
3	cool	ADJ	6	dislocated
4	,	PUNCT	3	punct
5	c'	PRON	6	nsubj
6	est	VERB	0	root
7	que	SCONJ	12	mark
8	la	DET	9	det
9	piste	NOUN	12	nsubj
10	est	AUX	12	cop
11	vraiment	ADV	12	advmod
12	adhérente	ADJ	6	ccomp:pred
13	:	PUNCT	14	punct
14	rien	PRON	6	parataxis
15	à	ADP	16	mark
16	voir	VERB	14	acl
17	avec	ADP	19	case
18	les	DET	19	det
19	pistes	NOUN	16	obl:arg
20	de	ADP	21	case
21	kart	NOUN	19	nmod
22	en	ADP	23	case
23	béton	NOUN	19	nmod
24	que	PRON	27	obj
25	j'	PRON	27	nsubj
26	ai	AUX	27	aux:tense
27	vues	VERB	19	acl:relcl
28	partout	ADV	27	advmod
29	!	PUNCT	6	punct