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:
Dans le même temps, l'ectoderme supérieur secrète du BMP, pour Bone morphogenetic protein (protéine morphogénétique de l'os), qui, à l'inverse, induira le développement des neurones sensoriels.
Postion	Tokenization
1	Dans
2	le
3	même
4	temps
5	,
6	l'
7	ectoderme
8	supérieur
9	secrète
10	du
11	BMP
12	,
13	pour
14	Bone
15	morphogenetic
16	protein
17	(
18	protéine
19	morphogénétique
20	de
21	l'
22	os
23	)
24	,
25	qui
26	,
27	à
28	l'
29	inverse
30	,
31	induira
32	le
33	développement
34	des
35	de
36	les
37	neurones
38	sensoriels
39	.
Position	Tokenization	UPOS	Head	Deprel
1	Dans	ADP	4	case
2	le	DET	4	det
3	même	ADJ	4	amod
4	temps	NOUN	9	obl:mod
5	,	PUNCT	4	punct
6	l'	DET	7	det
7	ectoderme	NOUN	9	nsubj
8	supérieur	ADJ	7	amod
9	secrète	VERB	0	root
10	du	DET	11	det
11	BMP	NOUN	9	obj
12	,	PUNCT	14	punct
13	pour	ADP	14	case
14	Bone	X	11	nmod
15	morphogenetic	X	14	flat:name
16	protein	X	15	flat:name
17	(	PUNCT	18	punct
18	protéine	NOUN	14	appos
19	morphogénétique	ADJ	18	amod
20	de	ADP	22	case
21	l'	DET	22	det
22	os	NOUN	18	nmod
23	)	PUNCT	18	punct
24	,	PUNCT	31	punct
25	qui	PRON	31	nsubj
26	,	PUNCT	25	punct
27	à	ADP	29	case
28	l'	DET	29	det
29	inverse	NOUN	31	obl:mod
30	,	PUNCT	29	punct
31	induira	VERB	11	acl:relcl
32	le	DET	33	det
33	développement	NOUN	31	obj
34	des	_	None	_
35	de	ADP	36	case
36	les	DET	36	det
37	neurones	NOUN	33	nmod
38	sensoriels	ADJ	36	amod
39	.	PUNCT	9	punct