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:
L'histoire d'un jeune sportif de Harlem, Kyle Lee Watson (Duane Martin) aspire à devenir basketteur professionnel et de sa relation avec Birdie, trafiquant de drogue et Shep, ancienne star de basket, devenu agent de sécurité de son école.
Postion	Tokenization
1	L'
2	histoire
3	d'
4	un
5	jeune
6	sportif
7	de
8	Harlem
9	,
10	Kyle
11	Lee
12	Watson
13	(
14	Duane
15	Martin
16	)
17	aspire
18	à
19	devenir
20	basketteur
21	professionnel
22	et
23	de
24	sa
25	relation
26	avec
27	Birdie
28	,
29	trafiquant
30	de
31	drogue
32	et
33	Shep
34	,
35	ancienne
36	star
37	de
38	basket
39	,
40	devenu
41	agent
42	de
43	sécurité
44	de
45	son
46	école
47	.
Position	Tokenization	UPOS	Head	Deprel
1	L'	DET	2	det
2	histoire	NOUN	0	root
3	d'	ADP	6	case
4	un	DET	6	det
5	jeune	ADJ	6	amod
6	sportif	NOUN	2	nmod
7	de	ADP	8	case
8	Harlem	PROPN	6	nmod
9	,	PUNCT	10	punct
10	Kyle	PROPN	17	nsubj
11	Lee	PROPN	10	flat:name
12	Watson	PROPN	11	flat:name
13	(	PUNCT	14	punct
14	Duane	PROPN	10	appos
15	Martin	PROPN	14	flat:name
16	)	PUNCT	14	punct
17	aspire	VERB	2	parataxis
18	à	ADP	19	mark
19	devenir	VERB	17	xcomp:obl
20	basketteur	NOUN	19	xcomp:pred
21	professionnel	ADJ	20	amod
22	et	CCONJ	25	cc
23	de	ADP	25	case
24	sa	DET	25	det
25	relation	NOUN	6	conj
26	avec	ADP	27	case
27	Birdie	PROPN	25	nmod
28	,	PUNCT	29	punct
29	trafiquant	NOUN	27	appos
30	de	ADP	31	case
31	drogue	NOUN	29	nmod
32	et	CCONJ	33	cc
33	Shep	PROPN	27	conj
34	,	PUNCT	36	punct
35	ancienne	ADJ	36	amod
36	star	NOUN	33	appos
37	de	ADP	38	case
38	basket	NOUN	36	nmod
39	,	PUNCT	40	punct
40	devenu	VERB	33	acl
41	agent	NOUN	40	xcomp:pred
42	de	ADP	43	case
43	sécurité	NOUN	41	nmod
44	de	ADP	46	case
45	son	DET	46	det
46	école	NOUN	41	nmod
47	.	PUNCT	2	punct