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:
Plusieurs centaines de plants de cannabis et de pavot ont été découverts dans le pays et, l'an dernier, 69 cultivateurs ont été arrêtés.
Postion	Tokenization
1	Plusieurs
2	centaines
3	de
4	plants
5	de
6	cannabis
7	et
8	de
9	pavot
10	ont
11	été
12	découverts
13	dans
14	le
15	pays
16	et
17	,
18	l'
19	an
20	dernier
21	,
22	69
23	cultivateurs
24	ont
25	été
26	arrêtés
27	.
Position	Tokenization	UPOS	Head	Deprel
1	Plusieurs	DET	2	det
2	centaines	NOUN	12	nsubj:pass
3	de	ADP	4	case
4	plants	NOUN	2	nmod
5	de	ADP	6	case
6	cannabis	NOUN	4	nmod
7	et	CCONJ	9	cc
8	de	ADP	9	case
9	pavot	NOUN	6	conj
10	ont	AUX	12	aux:tense
11	été	AUX	12	aux:pass
12	découverts	VERB	0	root
13	dans	ADP	15	case
14	le	DET	15	det
15	pays	NOUN	12	obl:mod
16	et	CCONJ	26	cc
17	,	PUNCT	16	punct
18	l'	DET	19	det
19	an	NOUN	26	obl:mod
20	dernier	ADJ	19	amod
21	,	PUNCT	19	punct
22	69	NUM	23	nummod
23	cultivateurs	NOUN	26	nsubj:pass
24	ont	AUX	26	aux:tense
25	été	AUX	26	aux:pass
26	arrêtés	VERB	12	conj
27	.	PUNCT	12	punct