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:
De plus, cet appareil étant couplé à un scanner, cela permet d'accentuer d'autant plus la qualité des images (fusion TEP-TDM et correction d'atténuation) et surtout laisse entrevoir le couplage des deux techniques et d'offrir ainsi un examen scano-angiographique des coronaires ou scanner coronaire tout cela en un seul et même examen pour le patient.
Postion	Tokenization
1	De
2	plus
3	,
4	cet
5	appareil
6	étant
7	couplé
8	à
9	un
10	scanner
11	,
12	cela
13	permet
14	d'
15	accentuer
16	d'
17	autant
18	plus
19	la
20	qualité
21	des
22	de
23	les
24	images
25	(
26	fusion
27	TEP-TDM
28	et
29	correction
30	d'
31	atténuation
32	)
33	et
34	surtout
35	laisse
36	entrevoir
37	le
38	couplage
39	des
40	de
41	les
42	deux
43	techniques
44	et
45	d'
46	offrir
47	ainsi
48	un
49	examen
50	scano-angiographique
51	des
52	de
53	les
54	coronaires
55	ou
56	scanner
57	coronaire
58	tout
59	cela
60	en
61	un
62	seul
63	et
64	même
65	examen
66	pour
67	le
68	patient
69	.
Position	Tokenization	UPOS	Head	Deprel
1	De	ADP	13	advmod
2	plus	ADV	1	fixed
3	,	PUNCT	7	punct
4	cet	DET	5	det
5	appareil	NOUN	7	nsubj
6	étant	AUX	7	aux:tense
7	couplé	VERB	13	advcl
8	à	ADP	10	case
9	un	DET	10	det
10	scanner	NOUN	7	obl:arg
11	,	PUNCT	7	punct
12	cela	PRON	13	nsubj
13	permet	VERB	0	root
14	d'	ADP	15	mark
15	accentuer	VERB	13	xcomp:obj
16	d'	ADP	15	advmod
17	autant	ADV	16	fixed
18	plus	ADV	16	fixed
19	la	DET	20	det
20	qualité	NOUN	15	obj
21	des	_	None	_
22	de	ADP	23	case
23	les	DET	23	det
24	images	NOUN	20	nmod
25	(	PUNCT	25	punct
26	fusion	NOUN	20	appos
27	TEP-TDM	NOUN	25	appos
28	et	CCONJ	28	cc
29	correction	NOUN	25	conj
30	d'	ADP	30	case
31	atténuation	NOUN	28	nmod
32	)	PUNCT	25	punct
33	et	CCONJ	34	cc
34	surtout	ADV	34	advmod
35	laisse	VERB	13	conj
36	entrevoir	VERB	34	ccomp:obj
37	le	DET	37	det
38	couplage	NOUN	35	obj
39	des	_	None	_
40	de	ADP	41	case
41	les	DET	41	det
42	deux	NUM	41	nummod
43	techniques	NOUN	37	nmod
44	et	CCONJ	44	cc
45	d'	ADP	44	mark
46	offrir	VERB	35	conj
47	ainsi	ADV	44	advmod
48	un	DET	47	det
49	examen	NOUN	44	obj
50	scano-angiographique	ADJ	47	amod
51	des	_	None	_
52	de	ADP	51	case
53	les	DET	51	det
54	coronaires	NOUN	47	nmod
55	ou	CCONJ	53	cc
56	scanner	NOUN	47	conj
57	coronaire	ADJ	53	amod
58	tout	DET	56	det
59	cela	PRON	47	appos
60	en	ADP	62	case
61	un	DET	62	det
62	seul	ADJ	62	amod
63	et	CCONJ	61	cc
64	même	ADJ	59	conj
65	examen	NOUN	56	nmod
66	pour	ADP	65	case
67	le	DET	65	det
68	patient	NOUN	62	nmod
69	.	PUNCT	13	punct