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:
Les régions côtières du nord-est et de l'est du Japon ont été frappées le 11 mars par un séisme de magnitude 9,0 sur l'échelle de Richter, suivi d'un gigantesque tsunami.
Postion	Tokenization
1	Les
2	régions
3	côtières
4	du
5	de
6	le
7	nord-est
8	et
9	de
10	l'
11	est
12	du
13	de
14	le
15	Japon
16	ont
17	été
18	frappées
19	le
20	11
21	mars
22	par
23	un
24	séisme
25	de
26	magnitude
27	9,0
28	sur
29	l'
30	échelle
31	de
32	Richter
33	,
34	suivi
35	d'
36	un
37	gigantesque
38	tsunami
39	.
Position	Tokenization	UPOS	Head	Deprel
1	Les	DET	2	det
2	régions	NOUN	16	nsubj:pass
3	côtières	ADJ	2	amod
4	du	_	None	_
5	de	ADP	6	case
6	le	DET	6	det
7	nord-est	NOUN	2	nmod
8	et	CCONJ	10	cc
9	de	ADP	10	case
10	l'	DET	10	det
11	est	NOUN	6	conj
12	du	_	None	_
13	de	ADP	13	case
14	le	DET	13	det
15	Japon	PROPN	10	nmod
16	ont	AUX	16	aux:tense
17	été	AUX	16	aux:pass
18	frappées	VERB	0	root
19	le	DET	18	det
20	11	NUM	16	obl:mod
21	mars	NOUN	18	nmod
22	par	ADP	22	case
23	un	DET	22	det
24	séisme	NOUN	16	obl:agent
25	de	ADP	24	case
26	magnitude	NOUN	22	nmod
27	9,0	NUM	24	nmod
28	sur	ADP	28	case
29	l'	DET	28	det
30	échelle	NOUN	24	nmod
31	de	ADP	30	case
32	Richter	PROPN	28	nmod
33	,	PUNCT	32	punct
34	suivi	VERB	22	acl
35	d'	ADP	36	case
36	un	DET	36	det
37	gigantesque	ADJ	36	amod
38	tsunami	NOUN	32	obl:arg
39	.	PUNCT	16	punct