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:
« La motivation est un moteur essentiel pour l'apprentissage des langues, souligne Fabienne Fevrier-Tabarnoust, l'un des professeurs d'anglais.
Postion	Tokenization
1	«
2	La
3	motivation
4	est
5	un
6	moteur
7	essentiel
8	pour
9	l'
10	apprentissage
11	des
12	de
13	les
14	langues
15	,
16	souligne
17	Fabienne
18	Fevrier-Tabarnoust
19	,
20	l'
21	un
22	des
23	de
24	les
25	professeurs
26	d'
27	anglais
28	.
Position	Tokenization	UPOS	Head	Deprel
1	«	PUNCT	6	punct
2	La	DET	3	det
3	motivation	NOUN	6	nsubj
4	est	AUX	6	cop
5	un	DET	6	det
6	moteur	NOUN	0	root
7	essentiel	ADJ	6	amod
8	pour	ADP	10	case
9	l'	DET	10	det
10	apprentissage	NOUN	6	nmod
11	des	_	None	_
12	de	ADP	13	case
13	les	DET	13	det
14	langues	NOUN	10	nmod
15	,	PUNCT	15	punct
16	souligne	VERB	6	parataxis
17	Fabienne	PROPN	15	nsubj
18	Fevrier-Tabarnoust	PROPN	16	flat:name
19	,	PUNCT	20	punct
20	l'	DET	20	det
21	un	PRON	16	appos
22	des	_	None	_
23	de	ADP	23	case
24	les	DET	23	det
25	professeurs	NOUN	20	nmod
26	d'	ADP	25	case
27	anglais	NOUN	23	nmod
28	.	PUNCT	6	punct