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:
Avant qu'il ait atteint l'âge de vingt-et-un ans, il était déjà un auteur reconnu des lecteurs de pulps de space opera mais avait été contraint de quitter le MIT en raison d'un échec à une épreuve d'allemand.
Postion	Tokenization
1	Avant
2	qu'
3	il
4	ait
5	atteint
6	l'
7	âge
8	de
9	vingt-et-un
10	ans
11	,
12	il
13	était
14	déjà
15	un
16	auteur
17	reconnu
18	des
19	de
20	les
21	lecteurs
22	de
23	pulps
24	de
25	space
26	opera
27	mais
28	avait
29	été
30	contraint
31	de
32	quitter
33	le
34	MIT
35	en
36	raison
37	d'
38	un
39	échec
40	à
41	une
42	épreuve
43	d'
44	allemand
45	.
Position	Tokenization	UPOS	Head	Deprel
1	Avant	ADP	5	mark
2	qu'	SCONJ	5	mark
3	il	PRON	5	nsubj
4	ait	AUX	5	aux:tense
5	atteint	VERB	16	advcl
6	l'	DET	7	det
7	âge	NOUN	5	obj
8	de	ADP	10	case
9	vingt-et-un	NUM	10	nummod
10	ans	NOUN	7	nmod
11	,	PUNCT	5	punct
12	il	PRON	16	nsubj
13	était	AUX	16	cop
14	déjà	ADV	16	advmod
15	un	DET	16	det
16	auteur	NOUN	0	root
17	reconnu	VERB	16	acl
18	des	_	None	_
19	de	ADP	20	case
20	les	DET	20	det
21	lecteurs	NOUN	17	obl:mod
22	de	ADP	22	case
23	pulps	NOUN	20	nmod
24	de	ADP	25	case
25	space	NOUN	25	nmod
26	opera	NOUN	22	nmod
27	mais	CCONJ	29	cc
28	avait	AUX	29	aux:tense
29	été	AUX	29	aux:pass
30	contraint	VERB	16	conj
31	de	ADP	31	mark
32	quitter	VERB	29	xcomp:obl
33	le	DET	33	det
34	MIT	PROPN	31	obj
35	en	ADP	29	advmod
36	raison	NOUN	34	fixed
37	d'	ADP	38	case
38	un	DET	38	det
39	échec	NOUN	34	obl:arg
40	à	ADP	41	case
41	une	DET	41	det
42	épreuve	NOUN	38	nmod
43	d'	ADP	43	case
44	allemand	NOUN	41	nmod
45	.	PUNCT	16	punct