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:
Mais, en 2005, Azazel fait tuer la petite amie de Sam, Jessica par un démon, dans l'espoir que le drame incite le jeune homme à redevenir un chasseur efficace et à exploiter pleinement son potentiel.
Postion	Tokenization
1	Mais
2	,
3	en
4	2005
5	,
6	Azazel
7	fait
8	tuer
9	la
10	petite
11	amie
12	de
13	Sam
14	,
15	Jessica
16	par
17	un
18	démon
19	,
20	dans
21	l'
22	espoir
23	que
24	le
25	drame
26	incite
27	le
28	jeune
29	homme
30	à
31	redevenir
32	un
33	chasseur
34	efficace
35	et
36	à
37	exploiter
38	pleinement
39	son
40	potentiel
41	.
Position	Tokenization	UPOS	Head	Deprel
1	Mais	CCONJ	8	cc
2	,	PUNCT	1	punct
3	en	ADP	4	case
4	2005	NUM	8	obl:mod
5	,	PUNCT	4	punct
6	Azazel	PROPN	8	nsubj:caus
7	fait	AUX	8	aux:caus
8	tuer	VERB	0	root
9	la	DET	11	det
10	petite	ADJ	11	amod
11	amie	NOUN	8	obj
12	de	ADP	13	case
13	Sam	PROPN	11	nmod
14	,	PUNCT	15	punct
15	Jessica	PROPN	11	appos
16	par	ADP	18	case
17	un	DET	18	det
18	démon	NOUN	8	obl:agent
19	,	PUNCT	22	punct
20	dans	ADP	22	case
21	l'	DET	22	det
22	espoir	NOUN	8	obl:mod
23	que	SCONJ	26	mark
24	le	DET	25	det
25	drame	NOUN	26	nsubj
26	incite	VERB	22	acl
27	le	DET	29	det
28	jeune	ADJ	29	amod
29	homme	NOUN	26	obj
30	à	ADP	31	mark
31	redevenir	VERB	26	xcomp:obl
32	un	DET	33	det
33	chasseur	NOUN	31	xcomp:pred
34	efficace	ADJ	33	amod
35	et	CCONJ	37	cc
36	à	ADP	37	mark
37	exploiter	VERB	31	conj
38	pleinement	ADV	37	advmod
39	son	DET	40	det
40	potentiel	NOUN	37	obj
41	.	PUNCT	8	punct