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:
Les chiffres d'affaires des filiales Messier Bugatti et Messier Services, basées à Molsheim, sont ainsi « en croissance », explique la direction.
Postion	Tokenization
1	Les
2	chiffres
3	d'
4	affaires
5	des
6	de
7	les
8	filiales
9	Messier
10	Bugatti
11	et
12	Messier
13	Services
14	,
15	basées
16	à
17	Molsheim
18	,
19	sont
20	ainsi
21	«
22	en
23	croissance
24	»
25	,
26	explique
27	la
28	direction
29	.
Position	Tokenization	UPOS	Head	Deprel
1	Les	DET	2	det
2	chiffres	NOUN	18	nsubj
3	d'	ADP	4	case
4	affaires	NOUN	2	nmod
5	des	_	None	_
6	de	ADP	7	case
7	les	DET	7	det
8	filiales	NOUN	2	nmod
9	Messier	PROPN	7	appos
10	Bugatti	PROPN	8	flat:name
11	et	CCONJ	11	cc
12	Messier	PROPN	8	conj
13	Services	NOUN	11	flat:name
14	,	PUNCT	14	punct
15	basées	VERB	7	acl
16	à	ADP	16	case
17	Molsheim	PROPN	14	obl:arg
18	,	PUNCT	2	punct
19	sont	VERB	0	root
20	ainsi	ADV	18	advmod
21	«	PUNCT	22	punct
22	en	ADP	22	case
23	croissance	NOUN	18	obl:mod
24	»	PUNCT	22	punct
25	,	PUNCT	18	punct
26	explique	VERB	18	parataxis
27	la	DET	27	det
28	direction	NOUN	25	nsubj
29	.	PUNCT	18	punct