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:
Âgé de dix-neuf ans au mois de septembre 2006, James Spragg participe en Asie à sa première grande compétition, le Tour d'Indonésie, où il côtoie de nombreux professionnels, tels que David McCann (qui remporte le classement général), Uwe Hardter, son compatriote Daniel Lloyd ou André Schulze (vainqueur de la première étape).
Postion	Tokenization
1	Âgé
2	de
3	dix-neuf
4	ans
5	au
6	à
7	le
8	mois
9	de
10	septembre
11	2006
12	,
13	James
14	Spragg
15	participe
16	en
17	Asie
18	à
19	sa
20	première
21	grande
22	compétition
23	,
24	le
25	Tour
26	d'
27	Indonésie
28	,
29	où
30	il
31	côtoie
32	de
33	nombreux
34	professionnels
35	,
36	tels
37	que
38	David
39	McCann
40	(
41	qui
42	remporte
43	le
44	classement
45	général
46	)
47	,
48	Uwe
49	Hardter
50	,
51	son
52	compatriote
53	Daniel
54	Lloyd
55	ou
56	André
57	Schulze
58	(
59	vainqueur
60	de
61	la
62	première
63	étape
64	)
65	.
Position	Tokenization	UPOS	Head	Deprel
1	Âgé	ADJ	14	advcl
2	de	ADP	4	case
3	dix-neuf	NUM	4	nummod
4	ans	NOUN	1	obl:arg
5	au	_	None	_
6	à	ADP	7	case
7	le	DET	7	det
8	mois	NOUN	1	obl:mod
9	de	ADP	9	case
10	septembre	NOUN	7	nmod
11	2006	NUM	9	nmod
12	,	PUNCT	1	punct
13	James	PROPN	14	nsubj
14	Spragg	PROPN	12	flat:name
15	participe	VERB	0	root
16	en	ADP	16	case
17	Asie	PROPN	14	obl:mod
18	à	ADP	21	case
19	sa	DET	21	det
20	première	ADJ	21	amod
21	grande	ADJ	21	amod
22	compétition	NOUN	14	obl:arg
23	,	PUNCT	24	punct
24	le	DET	24	det
25	Tour	NOUN	21	appos
26	d'	ADP	26	case
27	Indonésie	PROPN	24	nmod
28	,	PUNCT	30	punct
29	où	ADV	30	advmod
30	il	PRON	30	nsubj
31	côtoie	VERB	21	acl:relcl
32	de	DET	33	det
33	nombreux	ADJ	33	amod
34	professionnels	NOUN	30	obj
35	,	PUNCT	35	punct
36	tels	ADJ	33	amod
37	que	SCONJ	37	case
38	David	PROPN	35	obj
39	McCann	PROPN	37	flat:name
40	(	PUNCT	41	punct
41	qui	PRON	41	nsubj
42	remporte	VERB	37	acl:relcl
43	le	DET	43	det
44	classement	NOUN	41	obj
45	général	ADJ	43	amod
46	)	PUNCT	41	punct
47	,	PUNCT	47	punct
48	Uwe	PROPN	37	conj
49	Hardter	PROPN	47	flat:name
50	,	PUNCT	51	punct
51	son	DET	51	det
52	compatriote	NOUN	37	conj
53	Daniel	PROPN	51	appos
54	Lloyd	PROPN	52	flat:name
55	ou	CCONJ	55	cc
56	André	PROPN	37	conj
57	Schulze	PROPN	55	flat:name
58	(	PUNCT	58	punct
59	vainqueur	NOUN	55	appos
60	de	ADP	62	case
61	la	DET	62	det
62	première	ADJ	62	amod
63	étape	NOUN	58	nmod
64	)	PUNCT	58	punct
65	.	PUNCT	14	punct