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:
Lors du dernier rapport publié par le ministère de l'écologie, il s'avère que l'état de nos cours d'eau ne soit pas si brillant que ça.
Postion	Tokenization
1	Lors
2	du
3	de
4	le
5	dernier
6	rapport
7	publié
8	par
9	le
10	ministère
11	de
12	l'
13	écologie
14	,
15	il
16	s'
17	avère
18	que
19	l'
20	état
21	de
22	nos
23	cours
24	d'
25	eau
26	ne
27	soit
28	pas
29	si
30	brillant
31	que
32	ça
33	.
Position	Tokenization	UPOS	Head	Deprel
1	Lors	ADV	16	advmod
2	du	_	None	_
3	de	ADP	5	case
4	le	DET	5	det
5	dernier	ADJ	5	amod
6	rapport	NOUN	1	obl:arg
7	publié	VERB	5	acl
8	par	ADP	9	case
9	le	DET	9	det
10	ministère	NOUN	6	obl:agent
11	de	ADP	12	case
12	l'	DET	12	det
13	écologie	NOUN	9	nmod
14	,	PUNCT	1	punct
15	il	PRON	16	nsubj
16	s'	PRON	16	dep:comp
17	avère	VERB	0	root
18	que	SCONJ	29	mark
19	l'	DET	19	det
20	état	NOUN	29	nsubj
21	de	ADP	22	case
22	nos	DET	22	det
23	cours	NOUN	19	nmod
24	d'	ADP	24	case
25	eau	NOUN	22	nmod
26	ne	ADV	29	advmod
27	soit	AUX	29	cop
28	pas	ADV	29	advmod
29	si	ADV	29	advmod
30	brillant	ADJ	16	ccomp:obj
31	que	SCONJ	31	case
32	ça	PRON	28	obj
33	.	PUNCT	16	punct