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:
Elle est endémique en Australie où on la trouve essentiellement dans les régions rocheuses au nord-est du pays Kimberley et partie adjacente du Territoire du Nord.
Postion	Tokenization
1	Elle
2	est
3	endémique
4	en
5	Australie
6	où
7	on
8	la
9	trouve
10	essentiellement
11	dans
12	les
13	régions
14	rocheuses
15	au
16	à
17	le
18	nord-est
19	du
20	de
21	le
22	pays
23	Kimberley
24	et
25	partie
26	adjacente
27	du
28	de
29	le
30	Territoire
31	du
32	de
33	le
34	Nord
35	.
Position	Tokenization	UPOS	Head	Deprel
1	Elle	PRON	3	nsubj
2	est	AUX	3	cop
3	endémique	ADJ	0	root
4	en	ADP	5	case
5	Australie	PROPN	3	obl:mod
6	où	ADV	9	obl:arg
7	on	PRON	9	nsubj
8	la	PRON	9	obj
9	trouve	VERB	5	acl:relcl
10	essentiellement	ADV	9	advmod
11	dans	ADP	13	case
12	les	DET	13	det
13	régions	NOUN	9	obl:mod
14	rocheuses	ADJ	13	amod
15	au	_	None	_
16	à	ADP	17	case
17	le	DET	17	det
18	nord-est	NOUN	13	nmod
19	du	_	None	_
20	de	ADP	20	case
21	le	DET	20	det
22	pays	NOUN	17	nmod
23	Kimberley	PROPN	20	appos
24	et	CCONJ	23	cc
25	partie	NOUN	20	conj
26	adjacente	ADJ	23	amod
27	du	_	None	_
28	de	ADP	27	case
29	le	DET	27	det
30	Territoire	NOUN	23	nmod
31	du	_	None	_
32	de	ADP	30	case
33	le	DET	30	det
34	Nord	NOUN	27	nmod
35	.	PUNCT	3	punct