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:
Sean David Morton qui se fait appeler "le prophète de l'Amérique", a levé six millions de dollars en faisant croire aux investisseurs qu'il pouvait prédire l'évolution de la Bourse !
Postion	Tokenization
1	Sean
2	David
3	Morton
4	qui
5	se
6	fait
7	appeler
8	"
9	le
10	prophète
11	de
12	l'
13	Amérique
14	"
15	,
16	a
17	levé
18	six
19	millions
20	de
21	dollars
22	en
23	faisant
24	croire
25	aux
26	à
27	les
28	investisseurs
29	qu'
30	il
31	pouvait
32	prédire
33	l'
34	évolution
35	de
36	la
37	Bourse
38	!
Position	Tokenization	UPOS	Head	Deprel
1	Sean	PROPN	17	nsubj
2	David	PROPN	1	flat:name
3	Morton	PROPN	2	flat:name
4	qui	PRON	7	nsubj:caus
5	se	PRON	7	obj
6	fait	AUX	7	aux:caus
7	appeler	VERB	1	acl:relcl
8	"	PUNCT	10	punct
9	le	DET	10	det
10	prophète	NOUN	7	xcomp:pred
11	de	ADP	13	case
12	l'	DET	13	det
13	Amérique	PROPN	10	nmod
14	"	PUNCT	10	punct
15	,	PUNCT	1	punct
16	a	AUX	17	aux:tense
17	levé	VERB	0	root
18	six	NUM	19	nummod
19	millions	NOUN	17	obj
20	de	ADP	21	case
21	dollars	NOUN	19	nmod
22	en	ADP	24	mark
23	faisant	AUX	24	aux:caus
24	croire	VERB	17	advcl
25	aux	_	None	_
26	à	ADP	27	case
27	les	DET	27	det
28	investisseurs	NOUN	24	obl:agent
29	qu'	SCONJ	30	mark
30	il	PRON	30	nsubj
31	pouvait	VERB	24	ccomp:obj
32	prédire	VERB	30	xcomp:obj
33	l'	DET	33	det
34	évolution	NOUN	31	obj
35	de	ADP	36	case
36	la	DET	36	det
37	Bourse	PROPN	33	nmod
38	!	PUNCT	17	punct