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:
"C'est la panique totale sur le marché, et la chute du cours suit le risque souverain", explique Nuria Alvarez, analyste chez Renta 4.
Postion	Tokenization
1	"
2	C'
3	est
4	la
5	panique
6	totale
7	sur
8	le
9	marché
10	,
11	et
12	la
13	chute
14	du
15	de
16	le
17	cours
18	suit
19	le
20	risque
21	souverain
22	"
23	,
24	explique
25	Nuria
26	Alvarez
27	,
28	analyste
29	chez
30	Renta
31	4
32	.
Position	Tokenization	UPOS	Head	Deprel
1	"	PUNCT	5	punct
2	C'	PRON	5	nsubj
3	est	AUX	5	cop
4	la	DET	5	det
5	panique	NOUN	0	root
6	totale	ADJ	5	amod
7	sur	ADP	9	case
8	le	DET	9	det
9	marché	NOUN	5	obl:mod
10	,	PUNCT	17	punct
11	et	CCONJ	17	cc
12	la	DET	13	det
13	chute	NOUN	17	nsubj
14	du	_	None	_
15	de	ADP	16	case
16	le	DET	16	det
17	cours	NOUN	13	nmod
18	suit	VERB	5	conj
19	le	DET	19	det
20	risque	NOUN	17	obj
21	souverain	NOUN	19	nmod
22	"	PUNCT	5	punct
23	,	PUNCT	5	punct
24	explique	VERB	5	parataxis
25	Nuria	PROPN	23	nsubj
26	Alvarez	PROPN	24	flat:name
27	,	PUNCT	27	punct
28	analyste	NOUN	24	appos
29	chez	ADP	29	case
30	Renta	PROPN	27	nmod
31	4	PROPN	29	flat:name
32	.	PUNCT	5	punct