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:
C'est ainsi que DM, âgé de 31 ans, est appréhendé dans son domicile à Arzew en possession d'un kilogramme de cannabis.
Postion	Tokenization
1	C'
2	est
3	ainsi
4	que
5	DM
6	,
7	âgé
8	de
9	31
10	ans
11	,
12	est
13	appréhendé
14	dans
15	son
16	domicile
17	à
18	Arzew
19	en
20	possession
21	d'
22	un
23	kilogramme
24	de
25	cannabis
26	.
Position	Tokenization	UPOS	Head	Deprel
1	C'	PRON	3	expl:subj
2	est	AUX	3	cop
3	ainsi	ADV	0	root
4	que	SCONJ	13	mark
5	DM	PROPN	13	nsubj:pass
6	,	PUNCT	7	punct
7	âgé	ADJ	5	amod
8	de	ADP	10	case
9	31	NUM	10	nummod
10	ans	NOUN	7	obl:arg
11	,	PUNCT	7	punct
12	est	AUX	13	aux:pass
13	appréhendé	VERB	3	advcl:cleft
14	dans	ADP	16	case
15	son	DET	16	det
16	domicile	NOUN	13	obl:mod
17	à	ADP	18	case
18	Arzew	PROPN	16	nmod
19	en	ADP	20	case
20	possession	NOUN	13	obl:mod
21	d'	ADP	23	case
22	un	NUM	23	nummod
23	kilogramme	NOUN	20	nmod
24	de	ADP	25	case
25	cannabis	NOUN	23	nmod
26	.	PUNCT	3	punct