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:
Ayant un problèmes aux oreilles, j'ai rencontré ce médecin qui m'a carrément fichu dehors et avec un traitement inadapté.
Postion	Tokenization
1	Ayant
2	un
3	problèmes
4	aux
5	à
6	les
7	oreilles
8	,
9	j'
10	ai
11	rencontré
12	ce
13	médecin
14	qui
15	m'
16	a
17	carrément
18	fichu
19	dehors
20	et
21	avec
22	un
23	traitement
24	inadapté
25	.
Position	Tokenization	UPOS	Head	Deprel
1	Ayant	VERB	10	advcl
2	un	DET	3	det
3	problèmes	NOUN	1	obj
4	aux	_	None	_
5	à	ADP	6	case
6	les	DET	6	det
7	oreilles	NOUN	3	nmod
8	,	PUNCT	1	punct
9	j'	PRON	10	nsubj
10	ai	AUX	10	aux:tense
11	rencontré	VERB	0	root
12	ce	DET	12	det
13	médecin	NOUN	10	obj
14	qui	PRON	17	nsubj
15	m'	PRON	17	obj
16	a	AUX	17	aux:tense
17	carrément	ADV	17	advmod
18	fichu	VERB	12	acl:relcl
19	dehors	ADV	17	obl:arg
20	et	CCONJ	22	cc
21	avec	ADP	22	case
22	un	DET	22	det
23	traitement	NOUN	18	conj
24	inadapté	ADJ	22	amod
25	.	PUNCT	10	punct