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:
Moshé considère que « l'homme s'élève vers Dieu par les questions qu'il Lui pose » et que « toute question possède un pouvoir qui ne repose pas dans la réponse ».
Postion	Tokenization
1	Moshé
2	considère
3	que
4	«
5	l'
6	homme
7	s'
8	élève
9	vers
10	Dieu
11	par
12	les
13	questions
14	qu'
15	il
16	Lui
17	pose
18	»
19	et
20	que
21	«
22	toute
23	question
24	possède
25	un
26	pouvoir
27	qui
28	ne
29	repose
30	pas
31	dans
32	la
33	réponse
34	»
35	.
Position	Tokenization	UPOS	Head	Deprel
1	Moshé	PROPN	2	nsubj
2	considère	VERB	0	root
3	que	SCONJ	8	mark
4	«	PUNCT	8	punct
5	l'	DET	6	det
6	homme	NOUN	8	nsubj
7	s'	PRON	8	obj
8	élève	VERB	2	ccomp:obj
9	vers	ADP	10	case
10	Dieu	PROPN	8	obl:mod
11	par	ADP	13	case
12	les	DET	13	det
13	questions	NOUN	8	obl:mod
14	qu'	PRON	17	obj
15	il	PRON	17	nsubj
16	Lui	PRON	17	obl:arg
17	pose	VERB	13	acl:relcl
18	»	PUNCT	8	punct
19	et	CCONJ	24	cc
20	que	SCONJ	24	mark
21	«	PUNCT	24	punct
22	toute	DET	23	det
23	question	NOUN	24	nsubj
24	possède	VERB	8	conj
25	un	DET	26	det
26	pouvoir	NOUN	24	obj
27	qui	PRON	29	nsubj
28	ne	ADV	29	advmod
29	repose	VERB	26	acl:relcl
30	pas	ADV	29	advmod
31	dans	ADP	33	case
32	la	DET	33	det
33	réponse	NOUN	29	obl:arg
34	»	PUNCT	24	punct
35	.	PUNCT	2	punct