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 personnage et le nom de Jar Jar Binks est une idée de Jett, le jeune fils à l'époque de George Lucas, réalisateur du film.
Postion	Tokenization
1	Le
2	personnage
3	et
4	le
5	nom
6	de
7	Jar
8	Jar
9	Binks
10	est
11	une
12	idée
13	de
14	Jett
15	,
16	le
17	jeune
18	fils
19	à
20	l'
21	époque
22	de
23	George
24	Lucas
25	,
26	réalisateur
27	du
28	de
29	le
30	film
31	.
Position	Tokenization	UPOS	Head	Deprel
1	Le	DET	2	det
2	personnage	NOUN	12	nsubj
3	et	CCONJ	5	cc
4	le	DET	5	det
5	nom	NOUN	2	conj
6	de	ADP	7	case
7	Jar	PROPN	5	nmod
8	Jar	PROPN	7	flat:name
9	Binks	PROPN	8	flat:name
10	est	AUX	12	cop
11	une	DET	12	det
12	idée	NOUN	0	root
13	de	ADP	14	case
14	Jett	PROPN	12	nmod
15	,	PUNCT	18	punct
16	le	DET	18	det
17	jeune	ADJ	18	amod
18	fils	NOUN	14	appos
19	à	ADP	21	case
20	l'	DET	21	det
21	époque	NOUN	18	nmod
22	de	ADP	23	case
23	George	PROPN	18	nmod
24	Lucas	PROPN	23	flat:name
25	,	PUNCT	26	punct
26	réalisateur	NOUN	23	appos
27	du	_	None	_
28	de	ADP	29	case
29	le	DET	29	det
30	film	NOUN	26	nmod
31	.	PUNCT	12	punct