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'entreprise a pu compter sur la mobilisation et la solidarité de ses 104 collaborateurs ce week-end, pour nettoyer l'usine et remettre les machines en état de marche.
Postion	Tokenization
1	L'
2	entreprise
3	a
4	pu
5	compter
6	sur
7	la
8	mobilisation
9	et
10	la
11	solidarité
12	de
13	ses
14	104
15	collaborateurs
16	ce
17	week-end
18	,
19	pour
20	nettoyer
21	l'
22	usine
23	et
24	remettre
25	les
26	machines
27	en
28	état
29	de
30	marche
31	.
Position	Tokenization	UPOS	Head	Deprel
1	L'	DET	2	det
2	entreprise	NOUN	4	nsubj
3	a	AUX	4	aux:tense
4	pu	VERB	0	root
5	compter	VERB	4	xcomp:obj
6	sur	ADP	8	case
7	la	DET	8	det
8	mobilisation	NOUN	5	obl:mod
9	et	CCONJ	11	cc
10	la	DET	11	det
11	solidarité	NOUN	8	conj
12	de	ADP	15	case
13	ses	DET	15	det
14	104	NUM	15	nummod
15	collaborateurs	NOUN	8	nmod
16	ce	DET	17	det
17	week-end	NOUN	5	obl:mod
18	,	PUNCT	20	punct
19	pour	ADP	20	mark
20	nettoyer	VERB	5	advcl
21	l'	DET	22	det
22	usine	NOUN	20	obj
23	et	CCONJ	24	cc
24	remettre	VERB	20	conj
25	les	DET	26	det
26	machines	NOUN	24	obj
27	en	ADP	28	case
28	état	NOUN	24	obl:mod
29	de	ADP	30	case
30	marche	NOUN	28	nmod
31	.	PUNCT	4	punct