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:
L'aphasie fait référence à la perte d'un aspect du langage suite à une lésion cérébrale (traumatisme crânien, AVC...).
Postion	Tokenization
1	L'
2	aphasie
3	fait
4	référence
5	à
6	la
7	perte
8	d'
9	un
10	aspect
11	du
12	de
13	le
14	langage
15	suite
16	à
17	une
18	lésion
19	cérébrale
20	(
21	traumatisme
22	crânien
23	,
24	AVC
25	...
26	)
27	.
Position	Tokenization	UPOS	Head	Deprel
1	L'	DET	2	det
2	aphasie	NOUN	3	nsubj
3	fait	VERB	0	root
4	référence	NOUN	3	obj:lvc
5	à	ADP	7	case
6	la	DET	7	det
7	perte	NOUN	4	dep:comp
8	d'	ADP	10	case
9	un	DET	10	det
10	aspect	NOUN	7	nmod
11	du	_	None	_
12	de	ADP	13	case
13	le	DET	13	det
14	langage	NOUN	10	nmod
15	suite	NOUN	17	case
16	à	ADP	14	fixed
17	une	DET	17	det
18	lésion	NOUN	7	nmod
19	cérébrale	ADJ	17	amod
20	(	PUNCT	20	punct
21	traumatisme	NOUN	17	appos
22	crânien	ADJ	20	amod
23	,	PUNCT	23	punct
24	AVC	NOUN	20	conj
25	...	PUNCT	20	punct
26	)	PUNCT	20	punct
27	.	PUNCT	3	punct