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 fil d'une œuvre abondante, on comprend que Pierre Miquel ait été couronné par plusieurs prix prestigieux, dont celui de la Société des gens de lettres en 1999.
Postion	Tokenization
1	Au
2	à
3	le
4	fil
5	d'
6	une
7	œuvre
8	abondante
9	,
10	on
11	comprend
12	que
13	Pierre
14	Miquel
15	ait
16	été
17	couronné
18	par
19	plusieurs
20	prix
21	prestigieux
22	,
23	dont
24	celui
25	de
26	la
27	Société
28	des
29	de
30	les
31	gens
32	de
33	lettres
34	en
35	1999
36	.
Position	Tokenization	UPOS	Head	Deprel
1	Au	_	None	_
2	à	ADP	3	case
3	le	DET	3	det
4	fil	NOUN	10	obl:mod
5	d'	ADP	6	case
6	une	DET	6	det
7	œuvre	NOUN	3	nmod
8	abondante	ADJ	6	amod
9	,	PUNCT	3	punct
10	on	PRON	10	nsubj
11	comprend	VERB	0	root
12	que	SCONJ	16	mark
13	Pierre	PROPN	16	nsubj:pass
14	Miquel	PROPN	12	flat:name
15	ait	AUX	16	aux:tense
16	été	AUX	16	aux:pass
17	couronné	VERB	10	ccomp:obj
18	par	ADP	19	case
19	plusieurs	DET	19	det
20	prix	NOUN	16	obl:agent
21	prestigieux	ADJ	19	amod
22	,	PUNCT	23	punct
23	dont	PRON	23	nmod
24	celui	PRON	19	appos
25	de	ADP	26	case
26	la	DET	26	det
27	Société	NOUN	23	nmod
28	des	_	None	_
29	de	ADP	29	case
30	les	DET	29	det
31	gens	NOUN	26	nmod
32	de	ADP	31	case
33	lettres	NOUN	29	nmod
34	en	ADP	33	case
35	1999	NUM	23	nmod
36	.	PUNCT	10	punct