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:
Car, en effet, aucun investisseur ne mettrait son argent dans ce pays en sachant que les services de l'Etat auraient pour réputation, de ne pas payer leurs dettes auprès des tiers.
Postion	Tokenization
1	Car
2	,
3	en
4	effet
5	,
6	aucun
7	investisseur
8	ne
9	mettrait
10	son
11	argent
12	dans
13	ce
14	pays
15	en
16	sachant
17	que
18	les
19	services
20	de
21	l'
22	Etat
23	auraient
24	pour
25	réputation
26	,
27	de
28	ne
29	pas
30	payer
31	leurs
32	dettes
33	auprès
34	des
35	de
36	les
37	tiers
38	.
Position	Tokenization	UPOS	Head	Deprel
1	Car	CCONJ	9	cc
2	,	PUNCT	1	punct
3	en	ADP	9	advmod
4	effet	NOUN	3	fixed
5	,	PUNCT	3	punct
6	aucun	DET	7	det
7	investisseur	NOUN	9	nsubj
8	ne	ADV	9	advmod
9	mettrait	VERB	0	root
10	son	DET	11	det
11	argent	NOUN	9	obj
12	dans	ADP	14	case
13	ce	DET	14	det
14	pays	NOUN	9	obl:mod
15	en	ADP	16	mark
16	sachant	VERB	9	advcl
17	que	SCONJ	23	mark
18	les	DET	19	det
19	services	NOUN	23	nsubj
20	de	ADP	22	case
21	l'	DET	22	det
22	Etat	NOUN	19	nmod
23	auraient	VERB	16	ccomp:obj
24	pour	ADP	25	case
25	réputation	NOUN	23	obl:arg
26	,	PUNCT	30	punct
27	de	ADP	30	mark
28	ne	ADV	30	advmod
29	pas	ADV	30	advmod
30	payer	VERB	23	ccomp:obj
31	leurs	DET	32	det
32	dettes	NOUN	30	obj
33	auprès	ADV	30	advmod
34	des	_	None	_
35	de	ADP	36	case
36	les	DET	36	det
37	tiers	NOUN	33	obl:arg
38	.	PUNCT	9	punct