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:
Il devient bientôt le conseiller de confiance du Maharaja, et est bientôt autant recherché comme instructeur que comme guérisseur de yoga.
Postion	Tokenization
1	Il
2	devient
3	bientôt
4	le
5	conseiller
6	de
7	confiance
8	du
9	de
10	le
11	Maharaja
12	,
13	et
14	est
15	bientôt
16	autant
17	recherché
18	comme
19	instructeur
20	que
21	comme
22	guérisseur
23	de
24	yoga
25	.
Position	Tokenization	UPOS	Head	Deprel
1	Il	PRON	2	nsubj
2	devient	VERB	0	root
3	bientôt	ADV	2	advmod
4	le	DET	5	det
5	conseiller	NOUN	2	xcomp:pred
6	de	ADP	7	case
7	confiance	NOUN	5	nmod
8	du	_	None	_
9	de	ADP	10	case
10	le	DET	10	det
11	Maharaja	PROPN	5	nmod
12	,	PUNCT	16	punct
13	et	CCONJ	16	cc
14	est	AUX	16	aux:pass
15	bientôt	ADV	16	advmod
16	autant	ADV	16	advmod
17	recherché	VERB	2	conj
18	comme	ADP	18	case
19	instructeur	NOUN	16	obl:mod
20	que	SCONJ	21	mark
21	comme	ADP	21	case
22	guérisseur	NOUN	15	ccomp:obj
23	de	ADP	23	case
24	yoga	NOUN	21	nmod
25	.	PUNCT	2	punct