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:
Au moins 20 personnes ont aussi été blessées à Osaki, dans la préfecture de Miyagi, certaines touchées par des chutes d'objet et d'autres prises au piège sous des débris.
Postion	Tokenization
1	Au
2	à
3	le
4	moins
5	20
6	personnes
7	ont
8	aussi
9	été
10	blessées
11	à
12	Osaki
13	,
14	dans
15	la
16	préfecture
17	de
18	Miyagi
19	,
20	certaines
21	touchées
22	par
23	des
24	chutes
25	d'
26	objet
27	et
28	d'
29	autres
30	prises
31	au
32	à
33	le
34	piège
35	sous
36	des
37	débris
38	.
Position	Tokenization	UPOS	Head	Deprel
1	Au	_	None	_
2	à	ADP	4	advmod
3	le	DET	1	fixed
4	moins	ADV	1	fixed
5	20	NUM	5	nummod
6	personnes	NOUN	9	nsubj:pass
7	ont	AUX	9	aux:tense
8	aussi	ADV	9	advmod
9	été	AUX	9	aux:pass
10	blessées	VERB	0	root
11	à	ADP	11	case
12	Osaki	PROPN	9	obl:mod
13	,	PUNCT	15	punct
14	dans	ADP	15	case
15	la	DET	15	det
16	préfecture	NOUN	11	nmod
17	de	ADP	17	case
18	Miyagi	PROPN	15	nmod
19	,	PUNCT	20	punct
20	certaines	PRON	20	nsubj:pass
21	touchées	VERB	9	conj
22	par	ADP	23	case
23	des	DET	23	det
24	chutes	NOUN	20	obl:agent
25	d'	ADP	25	case
26	objet	NOUN	23	nmod
27	et	CCONJ	29	cc
28	d'	DET	28	det
29	autres	PRON	29	nsubj:pass
30	prises	VERB	9	conj
31	au	_	None	_
32	à	ADP	32	case
33	le	DET	32	det
34	piège	NOUN	29	obl:mod
35	sous	ADP	35	case
36	des	DET	35	det
37	débris	NOUN	29	obl:mod
38	.	PUNCT	9	punct