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:
Les protocoles utilisés peuvent aussi être beaucoup plus complexes et impliquer par exemple des plages temporelles pendant lesquelles seul l'animal peut agir pour être « récompensé ».
Postion	Tokenization
1	Les
2	protocoles
3	utilisés
4	peuvent
5	aussi
6	être
7	beaucoup
8	plus
9	complexes
10	et
11	impliquer
12	par
13	exemple
14	des
15	plages
16	temporelles
17	pendant
18	lesquelles
19	seul
20	l'
21	animal
22	peut
23	agir
24	pour
25	être
26	«
27	récompensé
28	»
29	.
Position	Tokenization	UPOS	Head	Deprel
1	Les	DET	2	det
2	protocoles	NOUN	4	nsubj
3	utilisés	VERB	2	acl
4	peuvent	VERB	0	root
5	aussi	ADV	4	advmod
6	être	AUX	9	cop
7	beaucoup	ADV	8	advmod
8	plus	ADV	9	advmod
9	complexes	ADJ	4	xcomp:obj
10	et	CCONJ	11	cc
11	impliquer	VERB	9	conj
12	par	ADP	11	advmod
13	exemple	NOUN	12	fixed
14	des	DET	15	det
15	plages	NOUN	11	obj
16	temporelles	ADJ	15	amod
17	pendant	ADP	18	case
18	lesquelles	PRON	22	obl:mod
19	seul	ADJ	21	amod
20	l'	DET	21	det
21	animal	NOUN	22	nsubj
22	peut	VERB	15	acl:relcl
23	agir	VERB	22	xcomp:obj
24	pour	ADP	27	mark
25	être	AUX	27	aux:pass
26	«	PUNCT	27	punct
27	récompensé	VERB	23	advcl
28	»	PUNCT	27	punct
29	.	PUNCT	4	punct