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:
Membre de la European Association for Quality Assurance in Higher Education, la CTI est chargée des formations d'ingénieurs en France.
Postion	Tokenization
1	Membre
2	de
3	la
4	European
5	Association
6	for
7	Quality
8	Assurance
9	in
10	Higher
11	Education
12	,
13	la
14	CTI
15	est
16	chargée
17	des
18	de
19	les
20	formations
21	d'
22	ingénieurs
23	en
24	France
25	.
Position	Tokenization	UPOS	Head	Deprel
1	Membre	NOUN	16	advcl
2	de	ADP	4	case
3	la	DET	4	det
4	European	X	1	nmod
5	Association	X	4	flat:foreign
6	for	X	5	flat:foreign
7	Quality	X	6	flat:foreign
8	Assurance	X	7	flat:foreign
9	in	X	8	flat:foreign
10	Higher	X	9	flat:foreign
11	Education	X	10	flat:foreign
12	,	PUNCT	1	punct
13	la	DET	14	det
14	CTI	PROPN	16	nsubj
15	est	AUX	16	aux:tense
16	chargée	VERB	0	root
17	des	_	None	_
18	de	ADP	19	case
19	les	DET	19	det
20	formations	NOUN	16	obl:arg
21	d'	ADP	21	case
22	ingénieurs	NOUN	19	nmod
23	en	ADP	23	case
24	France	PROPN	16	obl:mod
25	.	PUNCT	16	punct