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:
Grigori n'apprendra les rudiments de la lecture et de l'écriture qu'au cours de ses voyages, à l'âge adulte, mais certaines personnes lui trouvaient un pouvoir d'apaisement, voire de guérison, sur les animaux.
Postion	Tokenization
1	Grigori
2	n'
3	apprendra
4	les
5	rudiments
6	de
7	la
8	lecture
9	et
10	de
11	l'
12	écriture
13	qu'
14	au
15	à
16	le
17	cours
18	de
19	ses
20	voyages
21	,
22	à
23	l'
24	âge
25	adulte
26	,
27	mais
28	certaines
29	personnes
30	lui
31	trouvaient
32	un
33	pouvoir
34	d'
35	apaisement
36	,
37	voire
38	de
39	guérison
40	,
41	sur
42	les
43	animaux
44	.
Position	Tokenization	UPOS	Head	Deprel
1	Grigori	PROPN	3	nsubj
2	n'	ADV	3	advmod
3	apprendra	VERB	0	root
4	les	DET	5	det
5	rudiments	NOUN	3	obj
6	de	ADP	8	case
7	la	DET	8	det
8	lecture	NOUN	5	nmod
9	et	CCONJ	12	cc
10	de	ADP	12	case
11	l'	DET	12	det
12	écriture	NOUN	8	conj
13	qu'	ADV	16	advmod
14	au	_	None	_
15	à	ADP	16	case
16	le	DET	16	det
17	cours	NOUN	3	obl:mod
18	de	ADP	19	case
19	ses	DET	19	det
20	voyages	NOUN	16	nmod
21	,	PUNCT	23	punct
22	à	ADP	23	case
23	l'	DET	23	det
24	âge	NOUN	16	conj
25	adulte	ADJ	23	amod
26	,	PUNCT	23	punct
27	mais	CCONJ	30	cc
28	certaines	DET	28	det
29	personnes	NOUN	30	nsubj
30	lui	PRON	30	obl:arg
31	trouvaient	VERB	3	conj
32	un	DET	32	det
33	pouvoir	NOUN	30	obj
34	d'	ADP	34	case
35	apaisement	NOUN	32	nmod
36	,	PUNCT	38	punct
37	voire	ADV	38	cc
38	de	ADP	38	case
39	guérison	NOUN	34	conj
40	,	PUNCT	42	punct
41	sur	ADP	42	case
42	les	DET	42	det
43	animaux	NOUN	32	nmod
44	.	PUNCT	3	punct