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:
La question que nous devons nous poser ici est : comment se fait-il que les Sephiroth soient androgynes alors que certaines sont appelées mâles et d'autres femelles ?
Postion	Tokenization
1	La
2	question
3	que
4	nous
5	devons
6	nous
7	poser
8	ici
9	est
10	:
11	comment
12	se
13	fait
14	-il
15	que
16	les
17	Sephiroth
18	soient
19	androgynes
20	alors
21	que
22	certaines
23	sont
24	appelées
25	mâles
26	et
27	d'
28	autres
29	femelles
30	?
Position	Tokenization	UPOS	Head	Deprel
1	La	DET	2	det
2	question	NOUN	9	nsubj
3	que	PRON	7	obj
4	nous	PRON	5	nsubj
5	devons	VERB	2	acl:relcl
6	nous	PRON	7	obl:arg
7	poser	VERB	5	xcomp:obj
8	ici	ADV	7	advmod
9	est	VERB	0	root
10	:	PUNCT	13	punct
11	comment	ADV	13	advmod
12	se	PRON	13	dep:comp
13	fait	VERB	9	parataxis
14	-il	PRON	13	nsubj
15	que	SCONJ	19	mark
16	les	DET	17	det
17	Sephiroth	PROPN	19	nsubj
18	soient	AUX	19	cop
19	androgynes	ADJ	13	ccomp:obj
20	alors	ADV	24	mark
21	que	SCONJ	20	fixed
22	certaines	PRON	24	nsubj
23	sont	AUX	24	aux:tense
24	appelées	VERB	19	advcl
25	mâles	ADJ	24	xcomp:pred
26	et	CCONJ	28	cc
27	d'	ADP	28	case
28	autres	ADJ	24	conj
29	femelles	NOUN	28	xcomp:pred
30	?	PUNCT	9	punct