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:
Agence immobilière très compétente avec laquelle j'ai eu affaire cet été 2010 pour la vente de ma maison et l'achat d'une nouvelle propriété.
Postion	Tokenization
1	Agence
2	immobilière
3	très
4	compétente
5	avec
6	laquelle
7	j'
8	ai
9	eu
10	affaire
11	cet
12	été
13	2010
14	pour
15	la
16	vente
17	de
18	ma
19	maison
20	et
21	l'
22	achat
23	d'
24	une
25	nouvelle
26	propriété
27	.
Position	Tokenization	UPOS	Head	Deprel
1	Agence	NOUN	0	root
2	immobilière	ADJ	1	amod
3	très	ADV	4	advmod
4	compétente	ADJ	1	amod
5	avec	ADP	6	case
6	laquelle	PRON	9	obl:arg
7	j'	PRON	9	nsubj
8	ai	AUX	9	aux:tense
9	eu	VERB	1	acl:relcl
10	affaire	NOUN	9	obj:lvc
11	cet	DET	12	det
12	été	NOUN	9	obl:mod
13	2010	NUM	12	nmod
14	pour	ADP	16	case
15	la	DET	16	det
16	vente	NOUN	9	obl:mod
17	de	ADP	19	case
18	ma	DET	19	det
19	maison	NOUN	16	nmod
20	et	CCONJ	22	cc
21	l'	DET	22	det
22	achat	NOUN	16	conj
23	d'	ADP	26	case
24	une	DET	26	det
25	nouvelle	ADJ	26	amod
26	propriété	NOUN	22	nmod
27	.	PUNCT	1	punct