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:
Ce phénomène qui augmente de plus en plus, selon les services de la gendarmerie, a traduit l'urgence de coordonner les efforts pour lutter efficacement contre ces atteintes à l'économie nationale et où les pertes peuvent se chiffrer à des milliards de centimes.
Postion	Tokenization
1	Ce
2	phénomène
3	qui
4	augmente
5	de
6	plus
7	en
8	plus
9	,
10	selon
11	les
12	services
13	de
14	la
15	gendarmerie
16	,
17	a
18	traduit
19	l'
20	urgence
21	de
22	coordonner
23	les
24	efforts
25	pour
26	lutter
27	efficacement
28	contre
29	ces
30	atteintes
31	à
32	l'
33	économie
34	nationale
35	et
36	où
37	les
38	pertes
39	peuvent
40	se
41	chiffrer
42	à
43	des
44	milliards
45	de
46	centimes
47	.
Position	Tokenization	UPOS	Head	Deprel
1	Ce	DET	2	det
2	phénomène	NOUN	18	nsubj
3	qui	PRON	4	nsubj
4	augmente	VERB	2	acl:relcl
5	de	ADP	4	advmod
6	plus	ADV	5	fixed
7	en	ADP	5	fixed
8	plus	ADV	5	fixed
9	,	PUNCT	12	punct
10	selon	ADP	12	case
11	les	DET	12	det
12	services	NOUN	4	obl:mod
13	de	ADP	15	case
14	la	DET	15	det
15	gendarmerie	NOUN	12	nmod
16	,	PUNCT	2	punct
17	a	AUX	18	aux:tense
18	traduit	VERB	0	root
19	l'	DET	20	det
20	urgence	NOUN	18	obj
21	de	ADP	22	mark
22	coordonner	VERB	20	acl
23	les	DET	24	det
24	efforts	NOUN	22	obj
25	pour	ADP	26	mark
26	lutter	VERB	22	advcl
27	efficacement	ADV	26	advmod
28	contre	ADP	30	case
29	ces	DET	30	det
30	atteintes	NOUN	26	obl:mod
31	à	ADP	33	case
32	l'	DET	33	det
33	économie	NOUN	30	nmod
34	nationale	ADJ	33	amod
35	et	CCONJ	39	cc
36	où	ADV	39	advmod
37	les	DET	38	det
38	pertes	NOUN	39	nsubj
39	peuvent	VERB	30	conj
40	se	PRON	41	expl:pass
41	chiffrer	VERB	39	xcomp:obj
42	à	ADP	44	case
43	des	DET	44	det
44	milliards	NOUN	41	obl:mod
45	de	ADP	46	case
46	centimes	NOUN	44	nmod
47	.	PUNCT	18	punct