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:
La confidentialité des clients est maintenue même chez les alumni, et en conséquence il est difficile d'évaluer rigoureusement la liste des clients du cabinet, ses éventuelles réussites et erreurs.
Postion	Tokenization
1	La
2	confidentialité
3	des
4	de
5	les
6	clients
7	est
8	maintenue
9	même
10	chez
11	les
12	alumni
13	,
14	et
15	en
16	conséquence
17	il
18	est
19	difficile
20	d'
21	évaluer
22	rigoureusement
23	la
24	liste
25	des
26	de
27	les
28	clients
29	du
30	de
31	le
32	cabinet
33	,
34	ses
35	éventuelles
36	réussites
37	et
38	erreurs
39	.
Position	Tokenization	UPOS	Head	Deprel
1	La	DET	2	det
2	confidentialité	NOUN	7	nsubj
3	des	_	None	_
4	de	ADP	5	case
5	les	DET	5	det
6	clients	NOUN	2	nmod
7	est	AUX	7	aux:tense
8	maintenue	VERB	0	root
9	même	ADV	11	advmod
10	chez	ADP	11	case
11	les	DET	11	det
12	alumni	NOUN	7	obl:mod
13	,	PUNCT	18	punct
14	et	CCONJ	18	cc
15	en	ADP	15	case
16	conséquence	NOUN	18	obl:mod
17	il	PRON	18	expl:subj
18	est	AUX	18	cop
19	difficile	ADJ	7	conj
20	d'	ADP	20	mark
21	évaluer	VERB	18	csubj
22	rigoureusement	ADV	20	advmod
23	la	DET	23	det
24	liste	NOUN	20	obj
25	des	_	None	_
26	de	ADP	26	case
27	les	DET	26	det
28	clients	NOUN	23	nmod
29	du	_	None	_
30	de	ADP	29	case
31	le	DET	29	det
32	cabinet	NOUN	26	nmod
33	,	PUNCT	33	punct
34	ses	DET	33	det
35	éventuelles	ADJ	33	amod
36	réussites	NOUN	23	conj
37	et	CCONJ	35	cc
38	erreurs	NOUN	33	conj
39	.	PUNCT	7	punct