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 se rendant au lycée sur le vieux vélo de sa sœur, Jason Shepherd un jeune garçon de 14 ans heurte la somptueuse limousine du producteur de cinéma Marty Wolf.
Postion	Tokenization
1	En
2	se
3	rendant
4	au
5	à
6	le
7	lycée
8	sur
9	le
10	vieux
11	vélo
12	de
13	sa
14	sœur
15	,
16	Jason
17	Shepherd
18	un
19	jeune
20	garçon
21	de
22	14
23	ans
24	heurte
25	la
26	somptueuse
27	limousine
28	du
29	de
30	le
31	producteur
32	de
33	cinéma
34	Marty
35	Wolf
36	.
Position	Tokenization	UPOS	Head	Deprel
1	En	ADP	3	mark
2	se	PRON	3	dep:comp
3	rendant	VERB	23	advcl
4	au	_	None	_
5	à	ADP	6	case
6	le	DET	6	det
7	lycée	NOUN	3	obl:arg
8	sur	ADP	10	case
9	le	DET	10	det
10	vieux	ADJ	10	amod
11	vélo	NOUN	3	obl:mod
12	de	ADP	13	case
13	sa	DET	13	det
14	sœur	NOUN	10	nmod
15	,	PUNCT	3	punct
16	Jason	PROPN	23	nsubj
17	Shepherd	PROPN	15	flat:name
18	un	DET	19	det
19	jeune	ADJ	19	amod
20	garçon	NOUN	15	appos
21	de	ADP	22	case
22	14	NUM	22	nummod
23	ans	NOUN	19	nmod
24	heurte	VERB	0	root
25	la	DET	26	det
26	somptueuse	ADJ	26	amod
27	limousine	NOUN	23	obj
28	du	_	None	_
29	de	ADP	29	case
30	le	DET	29	det
31	producteur	NOUN	26	nmod
32	de	ADP	31	case
33	cinéma	NOUN	29	nmod
34	Marty	PROPN	29	appos
35	Wolf	PROPN	32	flat:name
36	.	PUNCT	23	punct