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 projet TIA effectuait des recherches, des développements, et intégrait des technologies pour agréger les données, suivre l'analyse des liens, développer des modèles descriptifs et prescriptifs en utilisant la technologie de data mining, et appliquer ces modèles à d'autres fichiers pour identifier les terroristes et les groupes de terroristes dans une véritable démarche de data mining.
Postion	Tokenization
1	Le
2	projet
3	TIA
4	effectuait
5	des
6	recherches
7	,
8	des
9	développements
10	,
11	et
12	intégrait
13	des
14	technologies
15	pour
16	agréger
17	les
18	données
19	,
20	suivre
21	l'
22	analyse
23	des
24	de
25	les
26	liens
27	,
28	développer
29	des
30	modèles
31	descriptifs
32	et
33	prescriptifs
34	en
35	utilisant
36	la
37	technologie
38	de
39	data
40	mining
41	,
42	et
43	appliquer
44	ces
45	modèles
46	à
47	d'
48	autres
49	fichiers
50	pour
51	identifier
52	les
53	terroristes
54	et
55	les
56	groupes
57	de
58	terroristes
59	dans
60	une
61	véritable
62	démarche
63	de
64	data
65	mining
66	.
Position	Tokenization	UPOS	Head	Deprel
1	Le	DET	2	det
2	projet	NOUN	4	nsubj
3	TIA	PROPN	2	appos
4	effectuait	VERB	0	root
5	des	DET	6	det
6	recherches	NOUN	4	obj
7	,	PUNCT	9	punct
8	des	DET	9	det
9	développements	NOUN	6	conj
10	,	PUNCT	12	punct
11	et	CCONJ	12	cc
12	intégrait	VERB	4	conj
13	des	DET	14	det
14	technologies	NOUN	12	obj
15	pour	ADP	16	mark
16	agréger	VERB	12	advcl
17	les	DET	18	det
18	données	NOUN	16	obj
19	,	PUNCT	20	punct
20	suivre	VERB	16	conj
21	l'	DET	22	det
22	analyse	NOUN	20	obj
23	des	_	None	_
24	de	ADP	25	case
25	les	DET	25	det
26	liens	NOUN	22	nmod
27	,	PUNCT	27	punct
28	développer	VERB	16	conj
29	des	DET	29	det
30	modèles	NOUN	27	obj
31	descriptifs	ADJ	29	amod
32	et	CCONJ	32	cc
33	prescriptifs	ADJ	30	conj
34	en	ADP	34	mark
35	utilisant	VERB	27	advcl
36	la	DET	36	det
37	technologie	NOUN	34	obj
38	de	ADP	38	case
39	data	X	36	nmod
40	mining	X	38	flat:foreign
41	,	PUNCT	42	punct
42	et	CCONJ	42	cc
43	appliquer	VERB	16	conj
44	ces	DET	44	det
45	modèles	NOUN	42	obj
46	à	ADP	48	case
47	d'	DET	48	det
48	autres	ADJ	48	amod
49	fichiers	NOUN	42	obl:arg
50	pour	ADP	50	mark
51	identifier	VERB	42	advcl
52	les	DET	52	det
53	terroristes	NOUN	50	obj
54	et	CCONJ	55	cc
55	les	DET	55	det
56	groupes	NOUN	52	conj
57	de	ADP	57	case
58	terroristes	NOUN	55	nmod
59	dans	ADP	61	case
60	une	DET	61	det
61	véritable	ADJ	61	amod
62	démarche	NOUN	50	obl:mod
63	de	ADP	63	case
64	data	X	61	nmod
65	mining	X	63	flat:foreign
66	.	PUNCT	4	punct