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:
TIME investit au cœur de la révolution numérique en finançant en fonds propres le développement d'entreprises européennes innovantes et en croissance rapide du secteur des Télécoms/Internet/Media/E-Business.
Postion	Tokenization
1	TIME
2	investit
3	au
4	à
5	le
6	cœur
7	de
8	la
9	révolution
10	numérique
11	en
12	finançant
13	en
14	fonds
15	propres
16	le
17	développement
18	d'
19	entreprises
20	européennes
21	innovantes
22	et
23	en
24	croissance
25	rapide
26	du
27	de
28	le
29	secteur
30	des
31	de
32	les
33	Télécoms
34	/
35	Internet
36	/
37	Media
38	/
39	E-Business
40	.
Position	Tokenization	UPOS	Head	Deprel
1	TIME	PROPN	2	nsubj
2	investit	VERB	0	root
3	au	_	None	_
4	à	ADP	5	case
5	le	DET	5	det
6	cœur	NOUN	2	obl:arg
7	de	ADP	8	case
8	la	DET	8	det
9	révolution	NOUN	5	nmod
10	numérique	ADJ	8	amod
11	en	ADP	11	mark
12	finançant	VERB	2	advcl
13	en	ADP	13	case
14	fonds	NOUN	11	obl:mod
15	propres	ADJ	13	amod
16	le	DET	16	det
17	développement	NOUN	11	obj
18	d'	ADP	18	case
19	entreprises	NOUN	16	nmod
20	européennes	ADJ	18	amod
21	innovantes	ADJ	18	amod
22	et	CCONJ	23	cc
23	en	ADP	23	case
24	croissance	NOUN	20	conj
25	rapide	ADJ	23	amod
26	du	_	None	_
27	de	ADP	27	case
28	le	DET	27	det
29	secteur	NOUN	18	nmod
30	des	_	None	_
31	de	ADP	30	case
32	les	DET	30	det
33	Télécoms	PROPN	27	nmod
34	/	SYM	32	cc
35	Internet	PROPN	30	conj
36	/	SYM	34	cc
37	Media	PROPN	30	conj
38	/	SYM	36	cc
39	E-Business	PROPN	30	conj
40	.	PUNCT	2	punct