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 total, ses écrits remportèrent quatre fois le prix de l'Académie des inscriptions et belles-lettres, deux fois celui de l'Académie de Soissons, et trois fois de l'Académie d'Amiens.
Postion	Tokenization
1	Au
2	à
3	le
4	total
5	,
6	ses
7	écrits
8	remportèrent
9	quatre
10	fois
11	le
12	prix
13	de
14	l'
15	Académie
16	des
17	de
18	les
19	inscriptions
20	et
21	belles-lettres
22	,
23	deux
24	fois
25	celui
26	de
27	l'
28	Académie
29	de
30	Soissons
31	,
32	et
33	trois
34	fois
35	de
36	l'
37	Académie
38	d'
39	Amiens
40	.
Position	Tokenization	UPOS	Head	Deprel
1	Au	_	None	_
2	à	ADP	7	advmod
3	le	DET	1	fixed
4	total	NOUN	1	fixed
5	,	PUNCT	1	punct
6	ses	DET	6	det
7	écrits	NOUN	7	nsubj
8	remportèrent	VERB	0	root
9	quatre	NUM	9	nummod
10	fois	NOUN	7	obl:mod
11	le	DET	11	det
12	prix	NOUN	7	obj
13	de	ADP	14	case
14	l'	DET	14	det
15	Académie	NOUN	11	nmod
16	des	_	None	_
17	de	ADP	17	case
18	les	DET	17	det
19	inscriptions	NOUN	14	nmod
20	et	CCONJ	19	cc
21	belles-lettres	NOUN	17	conj
22	,	PUNCT	22	punct
23	deux	NUM	22	nummod
24	fois	NOUN	7	conj
25	celui	PRON	22	orphan
26	de	ADP	26	case
27	l'	DET	26	det
28	Académie	NOUN	23	nmod
29	de	ADP	28	case
30	Soissons	PROPN	26	nmod
31	,	PUNCT	32	punct
32	et	CCONJ	32	cc
33	trois	NUM	32	nummod
34	fois	NOUN	7	conj
35	de	ADP	35	case
36	l'	DET	35	det
37	Académie	NOUN	32	orphan
38	d'	ADP	37	case
39	Amiens	PROPN	35	nmod
40	.	PUNCT	7	punct