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:
Flinders a noté que Bungaree était "un homme digne et courageux" qui, plus d'une fois, a sauvé l'expédition.
Postion	Tokenization
1	Flinders
2	a
3	noté
4	que
5	Bungaree
6	était
7	"
8	un
9	homme
10	digne
11	et
12	courageux
13	"
14	qui
15	,
16	plus
17	d'
18	une
19	fois
20	,
21	a
22	sauvé
23	l'
24	expédition
25	.
Position	Tokenization	UPOS	Head	Deprel
1	Flinders	PROPN	3	nsubj
2	a	AUX	3	aux:tense
3	noté	VERB	0	root
4	que	SCONJ	9	mark
5	Bungaree	PROPN	9	nsubj
6	était	AUX	9	cop
7	"	PUNCT	9	punct
8	un	DET	9	det
9	homme	NOUN	3	ccomp:obj
10	digne	ADJ	9	amod
11	et	CCONJ	12	cc
12	courageux	ADJ	10	conj
13	"	PUNCT	9	punct
14	qui	PRON	22	nsubj
15	,	PUNCT	14	punct
16	plus	ADV	22	advmod
17	d'	ADP	19	case
18	une	NUM	19	nummod
19	fois	NOUN	16	obl:arg
20	,	PUNCT	16	punct
21	a	AUX	22	aux:tense
22	sauvé	VERB	9	acl:relcl
23	l'	DET	24	det
24	expédition	NOUN	22	obj
25	.	PUNCT	3	punct