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:
Pour résumer, vous devriez savoir qu'un client satisfait c'est 10 clients de gagnés mais au contraire, un client mécontent en vaut 100 de perdus !
Postion	Tokenization
1	Pour
2	résumer
3	,
4	vous
5	devriez
6	savoir
7	qu'
8	un
9	client
10	satisfait
11	c'
12	est
13	10
14	clients
15	de
16	gagnés
17	mais
18	au
19	à
20	le
21	contraire
22	,
23	un
24	client
25	mécontent
26	en
27	vaut
28	100
29	de
30	perdus
31	!
Position	Tokenization	UPOS	Head	Deprel
1	Pour	ADP	2	mark
2	résumer	VERB	5	advcl
3	,	PUNCT	2	punct
4	vous	PRON	5	nsubj
5	devriez	VERB	0	root
6	savoir	VERB	5	xcomp:obj
7	qu'	SCONJ	14	mark
8	un	DET	9	det
9	client	NOUN	14	dislocated
10	satisfait	ADJ	9	amod
11	c'	PRON	14	nsubj
12	est	AUX	14	cop
13	10	NUM	14	nummod
14	clients	NOUN	6	ccomp:obj
15	de	ADP	16	mark
16	gagnés	VERB	14	acl
17	mais	CCONJ	26	cc
18	au	_	None	_
19	à	ADP	26	advmod
20	le	DET	18	fixed
21	contraire	NOUN	18	fixed
22	,	PUNCT	18	punct
23	un	DET	23	det
24	client	NOUN	26	nsubj
25	mécontent	ADJ	23	amod
26	en	PRON	26	dep:comp
27	vaut	VERB	14	conj
28	100	NUM	26	obj
29	de	ADP	29	mark
30	perdus	VERB	27	acl
31	!	PUNCT	5	punct