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:
Le but de Jean Eudes n'est toutefois pas de créer un nouvel ordre religieux, mais simplement d'ouvrir une maison de refuge sur le modèle de celle qui existe, à Rouen par exemple ;
Postion	Tokenization
1	Le
2	but
3	de
4	Jean
5	Eudes
6	n'
7	est
8	toutefois
9	pas
10	de
11	créer
12	un
13	nouvel
14	ordre
15	religieux
16	,
17	mais
18	simplement
19	d'
20	ouvrir
21	une
22	maison
23	de
24	refuge
25	sur
26	le
27	modèle
28	de
29	celle
30	qui
31	existe
32	,
33	à
34	Rouen
35	par
36	exemple
37	;
Position	Tokenization	UPOS	Head	Deprel
1	Le	DET	2	det
2	but	NOUN	7	nsubj
3	de	ADP	4	case
4	Jean	PROPN	2	nmod
5	Eudes	PROPN	4	flat:name
6	n'	ADV	7	advmod
7	est	VERB	0	root
8	toutefois	ADV	7	advmod
9	pas	ADV	7	advmod
10	de	ADP	11	mark
11	créer	VERB	7	ccomp:pred
12	un	DET	14	det
13	nouvel	ADJ	14	amod
14	ordre	NOUN	11	obj
15	religieux	ADJ	14	amod
16	,	PUNCT	20	punct
17	mais	CCONJ	20	cc
18	simplement	ADV	20	advmod
19	d'	ADP	20	mark
20	ouvrir	VERB	11	conj
21	une	DET	22	det
22	maison	NOUN	20	obj
23	de	ADP	24	case
24	refuge	NOUN	22	nmod
25	sur	ADP	27	case
26	le	DET	27	det
27	modèle	NOUN	22	nmod
28	de	ADP	29	case
29	celle	PRON	27	nmod
30	qui	PRON	31	nsubj
31	existe	VERB	29	acl:relcl
32	,	PUNCT	34	punct
33	à	ADP	34	case
34	Rouen	PROPN	31	obl:mod
35	par	ADP	31	advmod
36	exemple	NOUN	35	fixed
37	;	PUNCT	7	punct