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:
Les plantes artificielles rendent l'aquarium moins vivant mais procurent une facilité d'entretien même si ces dernières ont tendance à devenir le support de nombreuses algues..
Postion	Tokenization
1	Les
2	plantes
3	artificielles
4	rendent
5	l'
6	aquarium
7	moins
8	vivant
9	mais
10	procurent
11	une
12	facilité
13	d'
14	entretien
15	même
16	si
17	ces
18	dernières
19	ont
20	tendance
21	à
22	devenir
23	le
24	support
25	de
26	nombreuses
27	algues
28	..
Position	Tokenization	UPOS	Head	Deprel
1	Les	DET	2	det
2	plantes	NOUN	4	nsubj
3	artificielles	ADJ	2	amod
4	rendent	VERB	0	root
5	l'	DET	6	det
6	aquarium	NOUN	4	obj
7	moins	ADV	8	advmod
8	vivant	ADJ	4	xcomp:pred
9	mais	CCONJ	10	cc
10	procurent	VERB	4	conj
11	une	DET	12	det
12	facilité	NOUN	10	obj
13	d'	ADP	14	case
14	entretien	NOUN	12	nmod
15	même	ADV	19	advmod
16	si	SCONJ	19	mark
17	ces	DET	18	det
18	dernières	ADJ	19	nsubj
19	ont	VERB	4	advcl
20	tendance	NOUN	19	obj:lvc
21	à	ADP	22	mark
22	devenir	VERB	20	xcomp:obl
23	le	DET	24	det
24	support	NOUN	22	obj
25	de	ADP	27	case
26	nombreuses	ADJ	27	amod
27	algues	NOUN	24	nmod
28	..	PUNCT	4	punct