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:
L'ex-ministre français des Affaires étrangères, en l'occurrence Bernard Kouchner, avait effectué en octobre de l'année dernière, une visite au Mali et au Niger.
Postion	Tokenization
1	L'
2	ex-ministre
3	français
4	des
5	de
6	les
7	Affaires
8	étrangères
9	,
10	en
11	l'
12	occurrence
13	Bernard
14	Kouchner
15	,
16	avait
17	effectué
18	en
19	octobre
20	de
21	l'
22	année
23	dernière
24	,
25	une
26	visite
27	au
28	à
29	le
30	Mali
31	et
32	au
33	à
34	le
35	Niger
36	.
Position	Tokenization	UPOS	Head	Deprel
1	L'	DET	2	det
2	ex-ministre	NOUN	16	nsubj
3	français	ADJ	2	amod
4	des	_	None	_
5	de	ADP	6	case
6	les	DET	6	det
7	Affaires	NOUN	2	nmod
8	étrangères	ADJ	6	amod
9	,	PUNCT	12	punct
10	en	ADP	11	case
11	l'	DET	11	det
12	occurrence	NOUN	12	nmod
13	Bernard	PROPN	2	appos
14	Kouchner	PROPN	12	flat:name
15	,	PUNCT	12	punct
16	avait	AUX	16	aux:tense
17	effectué	VERB	0	root
18	en	ADP	18	case
19	octobre	NOUN	16	obl:mod
20	de	ADP	21	case
21	l'	DET	21	det
22	année	NOUN	18	nmod
23	dernière	ADJ	21	amod
24	,	PUNCT	25	punct
25	une	DET	25	det
26	visite	NOUN	16	obj
27	au	_	None	_
28	à	ADP	28	case
29	le	DET	28	det
30	Mali	PROPN	25	nmod
31	et	CCONJ	32	cc
32	au	_	None	_
33	à	ADP	32	case
34	le	DET	32	det
35	Niger	PROPN	28	conj
36	.	PUNCT	16	punct