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:
Selon la légende, le prince Boleslas I Le Vaillant racheta le corps du martyr au prix de son poids en or et le fit ramener à Gniezno pour y être enterré.
Postion	Tokenization
1	Selon
2	la
3	légende
4	,
5	le
6	prince
7	Boleslas
8	I
9	Le
10	Vaillant
11	racheta
12	le
13	corps
14	du
15	de
16	le
17	martyr
18	au
19	à
20	le
21	prix
22	de
23	son
24	poids
25	en
26	or
27	et
28	le
29	fit
30	ramener
31	à
32	Gniezno
33	pour
34	y
35	être
36	enterré
37	.
Position	Tokenization	UPOS	Head	Deprel
1	Selon	ADP	3	case
2	la	DET	3	det
3	légende	NOUN	11	obl:mod
4	,	PUNCT	3	punct
5	le	DET	6	det
6	prince	NOUN	11	nsubj
7	Boleslas	PROPN	6	appos
8	I	NUM	7	nmod
9	Le	DET	10	det
10	Vaillant	PROPN	7	appos
11	racheta	VERB	0	root
12	le	DET	13	det
13	corps	NOUN	11	obj
14	du	_	None	_
15	de	ADP	16	case
16	le	DET	16	det
17	martyr	NOUN	13	nmod
18	au	_	None	_
19	à	ADP	19	case
20	le	DET	19	det
21	prix	NOUN	11	obl:mod
22	de	ADP	22	case
23	son	DET	22	det
24	poids	NOUN	19	nmod
25	en	ADP	24	case
26	or	NOUN	22	nmod
27	et	CCONJ	28	cc
28	le	PRON	28	obj:agent
29	fit	AUX	28	aux:caus
30	ramener	VERB	11	conj
31	à	ADP	30	case
32	Gniezno	PROPN	28	obl:arg
33	pour	ADP	34	mark
34	y	PRON	34	obl:mod
35	être	AUX	34	aux:pass
36	enterré	VERB	28	advcl
37	.	PUNCT	11	punct