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:
Cultivé pour son port rampant, il est devenu une plante populaire dans les jardins publics et privés de l'est de l'Australie, particulièrement à Sydney et Melbourne.
Postion	Tokenization
1	Cultivé
2	pour
3	son
4	port
5	rampant
6	,
7	il
8	est
9	devenu
10	une
11	plante
12	populaire
13	dans
14	les
15	jardins
16	publics
17	et
18	privés
19	de
20	l'
21	est
22	de
23	l'
24	Australie
25	,
26	particulièrement
27	à
28	Sydney
29	et
30	Melbourne
31	.
Position	Tokenization	UPOS	Head	Deprel
1	Cultivé	VERB	9	advcl
2	pour	ADP	4	case
3	son	DET	4	det
4	port	NOUN	1	obl:mod
5	rampant	ADJ	4	amod
6	,	PUNCT	1	punct
7	il	PRON	9	nsubj
8	est	AUX	9	aux:tense
9	devenu	VERB	0	root
10	une	DET	11	det
11	plante	NOUN	9	xcomp:pred
12	populaire	ADJ	11	amod
13	dans	ADP	15	case
14	les	DET	15	det
15	jardins	NOUN	9	obl:mod
16	publics	ADJ	15	amod
17	et	CCONJ	18	cc
18	privés	VERB	16	conj
19	de	ADP	21	case
20	l'	DET	21	det
21	est	NOUN	15	nmod
22	de	ADP	24	case
23	l'	DET	24	det
24	Australie	PROPN	21	nmod
25	,	PUNCT	28	punct
26	particulièrement	ADV	28	advmod
27	à	ADP	28	case
28	Sydney	PROPN	12	obl:mod
29	et	CCONJ	30	cc
30	Melbourne	PROPN	28	conj
31	.	PUNCT	9	punct