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:
M. Di Rupo, dont le parti avait remporté les élections de juin en Wallonie francophone, a émis l'espoir lundi "que la raison finira par l'emporter".
Postion	Tokenization
1	M.
2	Di
3	Rupo
4	,
5	dont
6	le
7	parti
8	avait
9	remporté
10	les
11	élections
12	de
13	juin
14	en
15	Wallonie
16	francophone
17	,
18	a
19	émis
20	l'
21	espoir
22	lundi
23	"
24	que
25	la
26	raison
27	finira
28	par
29	l'
30	emporter
31	"
32	.
Position	Tokenization	UPOS	Head	Deprel
1	M.	NOUN	19	nsubj
2	Di	PROPN	1	flat:name
3	Rupo	PROPN	2	flat:name
4	,	PUNCT	9	punct
5	dont	PRON	7	nmod
6	le	DET	7	det
7	parti	NOUN	9	nsubj
8	avait	AUX	9	aux:tense
9	remporté	VERB	1	acl:relcl
10	les	DET	11	det
11	élections	NOUN	9	obj
12	de	ADP	13	case
13	juin	NOUN	11	nmod
14	en	ADP	15	case
15	Wallonie	PROPN	11	nmod
16	francophone	ADJ	15	amod
17	,	PUNCT	9	punct
18	a	AUX	19	aux:tense
19	émis	VERB	0	root
20	l'	DET	21	det
21	espoir	NOUN	19	obj
22	lundi	NOUN	19	obl:mod
23	"	PUNCT	27	punct
24	que	SCONJ	27	mark
25	la	DET	26	det
26	raison	NOUN	27	nsubj
27	finira	VERB	21	acl
28	par	ADP	30	mark
29	l'	PRON	30	obj
30	emporter	VERB	27	xcomp:obl
31	"	PUNCT	27	punct
32	.	PUNCT	19	punct