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:
Il a promis la protection "des chômeurs et d'autres groupes faibles de la société avec une enveloppe de 3,5 milliards d'euros provenant surtout des programmes européens" ainsi que "la simplification des procédures pour les entreprises en vue de promouvoir les investissements, le développement vert, la recherche et l'innovation".
Postion	Tokenization
1	Il
2	a
3	promis
4	la
5	protection
6	"
7	des
8	de
9	les
10	chômeurs
11	et
12	d'
13	autres
14	groupes
15	faibles
16	de
17	la
18	société
19	avec
20	une
21	enveloppe
22	de
23	3,5
24	milliards
25	d'
26	euros
27	provenant
28	surtout
29	des
30	de
31	les
32	programmes
33	européens
34	"
35	ainsi
36	que
37	"
38	la
39	simplification
40	des
41	de
42	les
43	procédures
44	pour
45	les
46	entreprises
47	en
48	vue
49	de
50	promouvoir
51	les
52	investissements
53	,
54	le
55	développement
56	vert
57	,
58	la
59	recherche
60	et
61	l'
62	innovation
63	"
64	.
Position	Tokenization	UPOS	Head	Deprel
1	Il	PRON	3	nsubj
2	a	AUX	3	aux:tense
3	promis	VERB	0	root
4	la	DET	5	det
5	protection	NOUN	3	obj
6	"	PUNCT	9	punct
7	des	_	None	_
8	de	ADP	9	case
9	les	DET	9	det
10	chômeurs	NOUN	5	nmod
11	et	CCONJ	13	cc
12	d'	ADP	13	case
13	autres	ADJ	13	amod
14	groupes	NOUN	9	conj
15	faibles	ADJ	13	amod
16	de	ADP	17	case
17	la	DET	17	det
18	société	NOUN	13	nmod
19	avec	ADP	20	case
20	une	DET	20	det
21	enveloppe	NOUN	5	nmod
22	de	ADP	23	case
23	3,5	NUM	23	nummod
24	milliards	NOUN	20	nmod
25	d'	ADP	25	case
26	euros	NOUN	23	nmod
27	provenant	VERB	20	acl
28	surtout	ADV	26	advmod
29	des	_	None	_
30	de	ADP	30	case
31	les	DET	30	det
32	programmes	NOUN	26	obl:arg
33	européens	ADJ	30	amod
34	"	PUNCT	20	punct
35	ainsi	ADV	37	cc
36	que	SCONJ	33	fixed
37	"	PUNCT	37	punct
38	la	DET	37	det
39	simplification	NOUN	5	conj
40	des	_	None	_
41	de	ADP	40	case
42	les	DET	40	det
43	procédures	NOUN	37	nmod
44	pour	ADP	43	case
45	les	DET	43	det
46	entreprises	NOUN	37	nmod
47	en	ADP	37	advmod
48	vue	NOUN	44	fixed
49	de	ADP	47	mark
50	promouvoir	VERB	44	xcomp:obl
51	les	DET	49	det
52	investissements	NOUN	47	obj
53	,	PUNCT	52	punct
54	le	DET	52	det
55	développement	NOUN	49	conj
56	vert	ADJ	52	amod
57	,	PUNCT	56	punct
58	la	DET	56	det
59	recherche	NOUN	49	conj
60	et	CCONJ	59	cc
61	l'	DET	59	det
62	innovation	NOUN	49	conj
63	"	PUNCT	37	punct
64	.	PUNCT	3	punct