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:
Il décide de l'aider à arrêter et combat la mafia locale, à la tête du trafic de drogue de la ville, responsable de son addiction.
Postion	Tokenization
1	Il
2	décide
3	de
4	l'
5	aider
6	à
7	arrêter
8	et
9	combat
10	la
11	mafia
12	locale
13	,
14	à
15	la
16	tête
17	du
18	de
19	le
20	trafic
21	de
22	drogue
23	de
24	la
25	ville
26	,
27	responsable
28	de
29	son
30	addiction
31	.
Position	Tokenization	UPOS	Head	Deprel
1	Il	PRON	2	nsubj
2	décide	VERB	0	root
3	de	ADP	5	mark
4	l'	PRON	5	obj
5	aider	VERB	2	xcomp:obj
6	à	ADP	7	mark
7	arrêter	VERB	5	xcomp:obl
8	et	CCONJ	9	cc
9	combat	VERB	2	conj
10	la	DET	11	det
11	mafia	NOUN	9	obj
12	locale	ADJ	11	amod
13	,	PUNCT	16	punct
14	à	ADP	16	case
15	la	DET	16	det
16	tête	NOUN	11	nmod
17	du	_	None	_
18	de	ADP	19	case
19	le	DET	19	det
20	trafic	NOUN	16	nmod
21	de	ADP	21	case
22	drogue	NOUN	19	nmod
23	de	ADP	24	case
24	la	DET	24	det
25	ville	NOUN	19	nmod
26	,	PUNCT	26	punct
27	responsable	ADJ	19	amod
28	de	ADP	29	case
29	son	DET	29	det
30	addiction	NOUN	26	obl:arg
31	.	PUNCT	2	punct