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:
Il était le fils d'un orfèvre d'Édimbourg très influent dans sa corporation, qui savait mener avec brio des opérations de change aussi complexes que risquées, ce qui sans doute fut à l'origine de la propre vocation de banquier et de preneur de risques de John Law.
Postion	Tokenization
1	Il
2	était
3	le
4	fils
5	d'
6	un
7	orfèvre
8	d'
9	Édimbourg
10	très
11	influent
12	dans
13	sa
14	corporation
15	,
16	qui
17	savait
18	mener
19	avec
20	brio
21	des
22	opérations
23	de
24	change
25	aussi
26	complexes
27	que
28	risquées
29	,
30	ce
31	qui
32	sans
33	doute
34	fut
35	à
36	l'
37	origine
38	de
39	la
40	propre
41	vocation
42	de
43	banquier
44	et
45	de
46	preneur
47	de
48	risques
49	de
50	John
51	Law
52	.
Position	Tokenization	UPOS	Head	Deprel
1	Il	PRON	4	nsubj
2	était	AUX	4	cop
3	le	DET	4	det
4	fils	NOUN	0	root
5	d'	ADP	7	case
6	un	DET	7	det
7	orfèvre	NOUN	4	nmod
8	d'	ADP	9	case
9	Édimbourg	PROPN	7	nmod
10	très	ADV	11	advmod
11	influent	ADJ	7	amod
12	dans	ADP	14	case
13	sa	DET	14	det
14	corporation	NOUN	11	obl:mod
15	,	PUNCT	17	punct
16	qui	PRON	17	nsubj
17	savait	VERB	7	acl:relcl
18	mener	VERB	17	xcomp:obj
19	avec	ADP	20	case
20	brio	NOUN	18	obl:mod
21	des	DET	22	det
22	opérations	NOUN	18	obj
23	de	ADP	24	case
24	change	NOUN	22	nmod
25	aussi	ADV	26	advmod
26	complexes	ADJ	22	amod
27	que	SCONJ	28	mark
28	risquées	ADJ	25	ccomp:obj
29	,	PUNCT	30	punct
30	ce	PRON	18	parataxis
31	qui	PRON	34	nsubj
32	sans	ADP	34	advmod
33	doute	NOUN	32	fixed
34	fut	VERB	30	acl:relcl
35	à	ADP	37	case
36	l'	DET	37	det
37	origine	NOUN	34	obl:arg
38	de	ADP	41	case
39	la	DET	41	det
40	propre	ADJ	41	amod
41	vocation	NOUN	37	nmod
42	de	ADP	43	case
43	banquier	NOUN	41	nmod
44	et	CCONJ	46	cc
45	de	ADP	46	case
46	preneur	NOUN	43	conj
47	de	ADP	48	case
48	risques	NOUN	46	nmod
49	de	ADP	50	case
50	John	PROPN	41	nmod
51	Law	PROPN	50	flat:name
52	.	PUNCT	4	punct