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:
Ayant renié sa foi pour s'adonner aux sciences, notamment l'alchimie et la médecine, il espère découvrir un remède qui soignera Calixte atteinte d'une maladie qu'aucun savant de parvient à guérir.
Postion	Tokenization
1	Ayant
2	renié
3	sa
4	foi
5	pour
6	s'
7	adonner
8	aux
9	à
10	les
11	sciences
12	,
13	notamment
14	l'
15	alchimie
16	et
17	la
18	médecine
19	,
20	il
21	espère
22	découvrir
23	un
24	remède
25	qui
26	soignera
27	Calixte
28	atteinte
29	d'
30	une
31	maladie
32	qu'
33	aucun
34	savant
35	de
36	parvient
37	à
38	guérir
39	.
Position	Tokenization	UPOS	Head	Deprel
1	Ayant	AUX	2	aux:tense
2	renié	VERB	20	advcl
3	sa	DET	4	det
4	foi	NOUN	2	obj
5	pour	ADP	7	mark
6	s'	PRON	7	dep:comp
7	adonner	VERB	2	advcl
8	aux	_	None	_
9	à	ADP	10	case
10	les	DET	10	det
11	sciences	NOUN	7	obl:arg
12	,	PUNCT	14	punct
13	notamment	ADV	14	advmod
14	l'	DET	14	det
15	alchimie	NOUN	10	appos
16	et	CCONJ	17	cc
17	la	DET	17	det
18	médecine	NOUN	14	conj
19	,	PUNCT	2	punct
20	il	PRON	20	nsubj
21	espère	VERB	0	root
22	découvrir	VERB	20	xcomp:obj
23	un	DET	23	det
24	remède	NOUN	21	obj
25	qui	PRON	25	nsubj
26	soignera	VERB	23	acl:relcl
27	Calixte	PROPN	25	obj
28	atteinte	VERB	26	acl
29	d'	ADP	30	case
30	une	DET	30	det
31	maladie	NOUN	27	obl:arg
32	qu'	PRON	35	obj
33	aucun	DET	33	det
34	savant	NOUN	35	nsubj
35	de	ADV	35	advmod
36	parvient	VERB	30	acl:relcl
37	à	ADP	37	mark
38	guérir	VERB	35	xcomp:obl
39	.	PUNCT	20	punct