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:
Avec plus de 37 000 nouveaux cas chaque année en France, le cancer colorectal est le troisième cancer le plus fréquent après ceux de la prostate et du sein.
Postion	Tokenization
1	Avec
2	plus
3	de
4	37 000
5	nouveaux
6	cas
7	chaque
8	année
9	en
10	France
11	,
12	le
13	cancer
14	colorectal
15	est
16	le
17	troisième
18	cancer
19	le
20	plus
21	fréquent
22	après
23	ceux
24	de
25	la
26	prostate
27	et
28	du
29	de
30	le
31	sein
32	.
Position	Tokenization	UPOS	Head	Deprel
1	Avec	ADP	2	case
2	plus	ADV	18	obl:mod
3	de	ADP	6	case
4	37 000	NUM	6	nummod
5	nouveaux	ADJ	6	amod
6	cas	NOUN	2	dep:comp
7	chaque	DET	8	det
8	année	NOUN	6	nmod
9	en	ADP	10	case
10	France	PROPN	6	nmod
11	,	PUNCT	2	punct
12	le	DET	13	det
13	cancer	NOUN	18	nsubj
14	colorectal	ADJ	13	amod
15	est	AUX	18	cop
16	le	DET	18	det
17	troisième	ADJ	18	amod
18	cancer	NOUN	0	root
19	le	DET	21	advmod
20	plus	ADV	19	fixed
21	fréquent	ADJ	18	amod
22	après	ADP	23	case
23	ceux	PRON	21	obl:mod
24	de	ADP	26	case
25	la	DET	26	det
26	prostate	NOUN	23	nmod
27	et	CCONJ	30	cc
28	du	_	None	_
29	de	ADP	30	case
30	le	DET	30	det
31	sein	NOUN	26	conj
32	.	PUNCT	18	punct