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:
Etant moi même copropriétaire, je suis très satisfaite des services du cabinet Ariane Immobilier en qualité de syndic de notre résidence.
Postion	Tokenization
1	Etant
2	moi
3	même
4	copropriétaire
5	,
6	je
7	suis
8	très
9	satisfaite
10	des
11	de
12	les
13	services
14	du
15	de
16	le
17	cabinet
18	Ariane
19	Immobilier
20	en
21	qualité
22	de
23	syndic
24	de
25	notre
26	résidence
27	.
Position	Tokenization	UPOS	Head	Deprel
1	Etant	AUX	4	cop
2	moi	PRON	4	obl:mod
3	même	ADV	2	goeswith
4	copropriétaire	NOUN	9	advcl
5	,	PUNCT	4	punct
6	je	PRON	9	nsubj
7	suis	AUX	9	cop
8	très	ADV	9	advmod
9	satisfaite	ADJ	0	root
10	des	_	None	_
11	de	ADP	12	case
12	les	DET	12	det
13	services	NOUN	9	obl:arg
14	du	_	None	_
15	de	ADP	15	case
16	le	DET	15	det
17	cabinet	NOUN	12	nmod
18	Ariane	PROPN	15	appos
19	Immobilier	NOUN	16	flat:name
20	en	ADP	19	case
21	qualité	NOUN	15	nmod
22	de	ADP	21	case
23	syndic	NOUN	19	nmod
24	de	ADP	24	case
25	notre	DET	24	det
26	résidence	NOUN	21	nmod
27	.	PUNCT	9	punct