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 lancé plusieurs projets visant à détourner l'eau du fleuve Jaune et du fleuve Luanhe pour approvisionner la ville, mais son quota par habitant se situe à seulement 370 mètres cubes, ce qui est trop bas par rapport au niveau d'avertissement reconnu internationalement de 1.000 mètres cubes.
Postion	Tokenization
1	Il
2	a
3	lancé
4	plusieurs
5	projets
6	visant
7	à
8	détourner
9	l'
10	eau
11	du
12	de
13	le
14	fleuve
15	Jaune
16	et
17	du
18	de
19	le
20	fleuve
21	Luanhe
22	pour
23	approvisionner
24	la
25	ville
26	,
27	mais
28	son
29	quota
30	par
31	habitant
32	se
33	situe
34	à
35	seulement
36	370
37	mètres
38	cubes
39	,
40	ce
41	qui
42	est
43	trop
44	bas
45	par
46	rapport
47	au
48	à
49	le
50	niveau
51	d'
52	avertissement
53	reconnu
54	internationalement
55	de
56	1.000
57	mètres
58	cubes
59	.
Position	Tokenization	UPOS	Head	Deprel
1	Il	PRON	3	nsubj
2	a	AUX	3	aux:tense
3	lancé	VERB	0	root
4	plusieurs	DET	5	det
5	projets	NOUN	3	obj
6	visant	VERB	5	acl
7	à	ADP	8	mark
8	détourner	VERB	6	xcomp:obl
9	l'	DET	10	det
10	eau	NOUN	8	obj
11	du	_	None	_
12	de	ADP	13	case
13	le	DET	13	det
14	fleuve	NOUN	10	nmod
15	Jaune	PROPN	13	appos
16	et	CCONJ	18	cc
17	du	_	None	_
18	de	ADP	18	case
19	le	DET	18	det
20	fleuve	NOUN	13	conj
21	Luanhe	PROPN	18	appos
22	pour	ADP	21	mark
23	approvisionner	VERB	8	advcl
24	la	DET	23	det
25	ville	NOUN	21	obj
26	,	PUNCT	31	punct
27	mais	CCONJ	31	cc
28	son	DET	27	det
29	quota	NOUN	31	nsubj:pass
30	par	ADP	29	case
31	habitant	NOUN	27	nmod
32	se	PRON	31	expl:pass
33	situe	VERB	3	conj
34	à	ADP	35	case
35	seulement	ADV	34	advmod
36	370	NUM	35	nummod
37	mètres	NOUN	31	obl:arg
38	cubes	NOUN	35	nmod
39	,	PUNCT	38	punct
40	ce	PRON	31	parataxis
41	qui	PRON	42	nsubj
42	est	AUX	42	cop
43	trop	ADV	42	advmod
44	bas	ADJ	38	acl:relcl
45	par	ADP	44	case
46	rapport	NOUN	42	obl:mod
47	au	_	None	_
48	à	ADP	47	case
49	le	DET	47	det
50	niveau	NOUN	44	nmod
51	d'	ADP	49	case
52	avertissement	NOUN	47	nmod
53	reconnu	VERB	47	acl
54	internationalement	ADV	50	advmod
55	de	ADP	54	case
56	1.000	NUM	54	nummod
57	mètres	NOUN	47	nmod
58	cubes	NOUN	54	nmod
59	.	PUNCT	3	punct