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:
En revanche un adulte sera plus pressé de pouvoir s'exprimer alors que l'enfant devra découvrir la parole, apprendra par imitation et n'aura pas peur de se tromper.
Postion	Tokenization
1	En
2	revanche
3	un
4	adulte
5	sera
6	plus
7	pressé
8	de
9	pouvoir
10	s'
11	exprimer
12	alors
13	que
14	l'
15	enfant
16	devra
17	découvrir
18	la
19	parole
20	,
21	apprendra
22	par
23	imitation
24	et
25	n'
26	aura
27	pas
28	peur
29	de
30	se
31	tromper
32	.
Position	Tokenization	UPOS	Head	Deprel
1	En	ADP	2	case
2	revanche	NOUN	7	obl:mod
3	un	DET	4	det
4	adulte	NOUN	7	nsubj
5	sera	AUX	7	cop
6	plus	ADV	7	advmod
7	pressé	ADJ	0	root
8	de	ADP	9	mark
9	pouvoir	VERB	7	ccomp:obl
10	s'	PRON	11	dep:comp
11	exprimer	VERB	9	xcomp:obj
12	alors	ADV	16	mark
13	que	SCONJ	12	fixed
14	l'	DET	15	det
15	enfant	NOUN	16	nsubj
16	devra	VERB	7	advcl
17	découvrir	VERB	16	xcomp:obj
18	la	DET	19	det
19	parole	NOUN	17	obj
20	,	PUNCT	21	punct
21	apprendra	VERB	17	conj
22	par	ADP	23	case
23	imitation	NOUN	21	obl:mod
24	et	CCONJ	26	cc
25	n'	ADV	26	advmod
26	aura	VERB	17	conj
27	pas	ADV	26	advmod
28	peur	NOUN	26	obj:lvc
29	de	ADP	31	mark
30	se	PRON	31	dep:comp
31	tromper	VERB	28	ccomp:obl
32	.	PUNCT	7	punct