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:
Une des fois, il se fait passer pour un handicapé, dans un autre, il crée un refuge d'animaux, dans l'autre, il se fait passer pour un vampire et veut aller mordre Mr Whiteside car les relations entre Josh et son professeur de Math ne sont pas trop bien.
Postion	Tokenization
1	Une
2	des
3	de
4	les
5	fois
6	,
7	il
8	se
9	fait
10	passer
11	pour
12	un
13	handicapé
14	,
15	dans
16	un
17	autre
18	,
19	il
20	crée
21	un
22	refuge
23	d'
24	animaux
25	,
26	dans
27	l'
28	autre
29	,
30	il
31	se
32	fait
33	passer
34	pour
35	un
36	vampire
37	et
38	veut
39	aller
40	mordre
41	Mr
42	Whiteside
43	car
44	les
45	relations
46	entre
47	Josh
48	et
49	son
50	professeur
51	de
52	Math
53	ne
54	sont
55	pas
56	trop
57	bien
58	.
Position	Tokenization	UPOS	Head	Deprel
1	Une	NUM	9	obl:mod
2	des	_	None	_
3	de	ADP	4	case
4	les	DET	4	det
5	fois	NOUN	1	nmod
6	,	PUNCT	1	punct
7	il	PRON	9	nsubj:caus
8	se	PRON	9	obj:agent
9	fait	AUX	9	aux:caus
10	passer	VERB	0	root
11	pour	ADP	12	case
12	un	DET	12	det
13	handicapé	NOUN	9	obl:mod
14	,	PUNCT	19	punct
15	dans	ADP	16	case
16	un	DET	16	det
17	autre	PRON	19	obl:mod
18	,	PUNCT	16	punct
19	il	PRON	19	nsubj
20	crée	VERB	9	conj
21	un	DET	21	det
22	refuge	NOUN	19	obj
23	d'	ADP	23	case
24	animaux	NOUN	21	nmod
25	,	PUNCT	32	punct
26	dans	ADP	27	case
27	l'	DET	27	det
28	autre	PRON	32	obl:mod
29	,	PUNCT	27	punct
30	il	PRON	32	nsubj:caus
31	se	PRON	32	obj:agent
32	fait	AUX	32	aux:caus
33	passer	VERB	9	conj
34	pour	ADP	35	case
35	un	DET	35	det
36	vampire	NOUN	32	obl:mod
37	et	CCONJ	37	cc
38	veut	VERB	32	conj
39	aller	VERB	37	xcomp:obj
40	mordre	VERB	38	xcomp:obj
41	Mr	NOUN	39	obj
42	Whiteside	PROPN	40	appos
43	car	CCONJ	56	cc
44	les	DET	44	det
45	relations	NOUN	56	nsubj
46	entre	ADP	46	case
47	Josh	PROPN	44	nmod
48	et	CCONJ	49	cc
49	son	DET	49	det
50	professeur	NOUN	46	conj
51	de	ADP	51	case
52	Math	NOUN	49	nmod
53	ne	ADV	56	advmod
54	sont	AUX	56	cop
55	pas	ADV	56	advmod
56	trop	ADV	56	advmod
57	bien	ADV	32	conj
58	.	PUNCT	9	punct