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:
Par exemple, si vous souhaitez donner un peu plus d'aisance à la cuisine en la prolongeant de quelques mètres, une fondation sur pieux, bien arrimée à la structure existante, fera sans doute l'affaire.
Postion	Tokenization
1	Par
2	exemple
3	,
4	si
5	vous
6	souhaitez
7	donner
8	un
9	peu
10	plus
11	d'
12	aisance
13	à
14	la
15	cuisine
16	en
17	la
18	prolongeant
19	de
20	quelques
21	mètres
22	,
23	une
24	fondation
25	sur
26	pieux
27	,
28	bien
29	arrimée
30	à
31	la
32	structure
33	existante
34	,
35	fera
36	sans
37	doute
38	l'
39	affaire
40	.
Position	Tokenization	UPOS	Head	Deprel
1	Par	ADP	35	advmod
2	exemple	NOUN	1	fixed
3	,	PUNCT	1	punct
4	si	SCONJ	6	mark
5	vous	PRON	6	nsubj
6	souhaitez	VERB	35	advcl
7	donner	VERB	6	xcomp:obj
8	un	DET	10	advmod
9	peu	ADV	8	fixed
10	plus	ADV	7	obj
11	d'	ADP	12	case
12	aisance	NOUN	10	dep:comp
13	à	ADP	15	case
14	la	DET	15	det
15	cuisine	NOUN	12	nmod
16	en	ADP	18	mark
17	la	PRON	18	obj
18	prolongeant	VERB	12	acl
19	de	ADP	21	case
20	quelques	DET	21	det
21	mètres	NOUN	18	obl:mod
22	,	PUNCT	6	punct
23	une	DET	24	det
24	fondation	NOUN	35	nsubj
25	sur	ADP	26	case
26	pieux	NOUN	24	nmod
27	,	PUNCT	29	punct
28	bien	ADV	29	advmod
29	arrimée	VERB	24	acl
30	à	ADP	32	case
31	la	DET	32	det
32	structure	NOUN	29	obl:arg
33	existante	ADJ	32	amod
34	,	PUNCT	29	punct
35	fera	VERB	0	root
36	sans	ADP	35	advmod
37	doute	NOUN	36	fixed
38	l'	DET	39	det
39	affaire	NOUN	35	obj
40	.	PUNCT	35	punct