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 travaille essentiellement sur ce que les anglais nomment moths (mites, mais qui correspondent plus à la vision française des papillons de nuit) australiens.
Postion	Tokenization
1	Il
2	travaille
3	essentiellement
4	sur
5	ce
6	que
7	les
8	anglais
9	nomment
10	moths
11	(
12	mites
13	,
14	mais
15	qui
16	correspondent
17	plus
18	à
19	la
20	vision
21	française
22	des
23	de
24	les
25	papillons
26	de
27	nuit
28	)
29	australiens
30	.
Position	Tokenization	UPOS	Head	Deprel
1	Il	PRON	2	nsubj
2	travaille	VERB	0	root
3	essentiellement	ADV	2	advmod
4	sur	ADP	5	case
5	ce	PRON	2	obl:mod
6	que	PRON	9	obj
7	les	DET	8	det
8	anglais	NOUN	9	nsubj
9	nomment	VERB	5	acl:relcl
10	moths	NOUN	9	xcomp:pred
11	(	PUNCT	12	punct
12	mites	NOUN	10	appos
13	,	PUNCT	16	punct
14	mais	CCONJ	16	cc
15	qui	PRON	16	nsubj
16	correspondent	VERB	12	conj
17	plus	ADV	16	advmod
18	à	ADP	20	case
19	la	DET	20	det
20	vision	NOUN	16	obl:arg
21	française	ADJ	20	amod
22	des	_	None	_
23	de	ADP	24	case
24	les	DET	24	det
25	papillons	NOUN	20	nmod
26	de	ADP	26	case
27	nuit	NOUN	24	nmod
28	)	PUNCT	12	punct
29	australiens	ADJ	10	amod
30	.	PUNCT	2	punct