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:
Beaucoup plus tard, j'ai créé Aqualika, un site internet qui permet de récolter des informations des gens du désert pour trouver de l'eau et conserver la vie dans les déserts.
Postion	Tokenization
1	Beaucoup
2	plus
3	tard
4	,
5	j'
6	ai
7	créé
8	Aqualika
9	,
10	un
11	site
12	internet
13	qui
14	permet
15	de
16	récolter
17	des
18	informations
19	des
20	de
21	les
22	gens
23	du
24	de
25	le
26	désert
27	pour
28	trouver
29	de
30	l'
31	eau
32	et
33	conserver
34	la
35	vie
36	dans
37	les
38	déserts
39	.
Position	Tokenization	UPOS	Head	Deprel
1	Beaucoup	ADV	2	advmod
2	plus	ADV	3	advmod
3	tard	ADV	7	advmod
4	,	PUNCT	3	punct
5	j'	PRON	7	nsubj
6	ai	AUX	7	aux:tense
7	créé	VERB	0	root
8	Aqualika	PROPN	7	obj
9	,	PUNCT	11	punct
10	un	DET	11	det
11	site	NOUN	8	appos
12	internet	NOUN	11	nmod
13	qui	PRON	14	nsubj
14	permet	VERB	11	acl:relcl
15	de	ADP	16	mark
16	récolter	VERB	14	xcomp:obj
17	des	DET	18	det
18	informations	NOUN	16	obj
19	des	_	None	_
20	de	ADP	21	case
21	les	DET	21	det
22	gens	NOUN	18	nmod
23	du	_	None	_
24	de	ADP	24	case
25	le	DET	24	det
26	désert	NOUN	21	nmod
27	pour	ADP	26	mark
28	trouver	VERB	16	advcl
29	de	ADP	29	det
30	l'	DET	27	fixed
31	eau	NOUN	26	obj
32	et	CCONJ	31	cc
33	conserver	VERB	26	conj
34	la	DET	33	det
35	vie	NOUN	31	obj
36	dans	ADP	36	case
37	les	DET	36	det
38	déserts	NOUN	31	obl:mod
39	.	PUNCT	7	punct