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:
Lors des diverses éditions, sont venus Richard Anconina, Jean-Pierre Jeunet, Mathieu Kassovitz, Cédric Klapish, Guillaume Canet ou encore Marthe Keller.
Postion	Tokenization
1	Lors
2	des
3	de
4	les
5	diverses
6	éditions
7	,
8	sont
9	venus
10	Richard
11	Anconina
12	,
13	Jean-Pierre
14	Jeunet
15	,
16	Mathieu
17	Kassovitz
18	,
19	Cédric
20	Klapish
21	,
22	Guillaume
23	Canet
24	ou
25	encore
26	Marthe
27	Keller
28	.
Position	Tokenization	UPOS	Head	Deprel
1	Lors	ADV	8	advmod
2	des	_	None	_
3	de	ADP	5	case
4	les	DET	5	det
5	diverses	ADJ	5	amod
6	éditions	NOUN	1	obl:arg
7	,	PUNCT	1	punct
8	sont	AUX	8	aux:tense
9	venus	VERB	0	root
10	Richard	PROPN	8	nsubj
11	Anconina	PROPN	9	flat:name
12	,	PUNCT	12	punct
13	Jean-Pierre	PROPN	9	conj
14	Jeunet	PROPN	12	flat:name
15	,	PUNCT	15	punct
16	Mathieu	PROPN	9	conj
17	Kassovitz	PROPN	15	flat:name
18	,	PUNCT	18	punct
19	Cédric	PROPN	9	conj
20	Klapish	PROPN	18	flat:name
21	,	PUNCT	21	punct
22	Guillaume	PROPN	9	conj
23	Canet	PROPN	21	flat:name
24	ou	CCONJ	25	cc
25	encore	ADV	25	advmod
26	Marthe	PROPN	9	conj
27	Keller	PROPN	25	flat:name
28	.	PUNCT	8	punct