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:
Il a par ailleurs dénoncé le Maroc en l'accusant de être livré à des manipulations concernant les listes électorales qui auraient dû servir à l'organisation du référendum.
Postion	Tokenization
1	Il
2	a
3	par
4	ailleurs
5	dénoncé
6	le
7	Maroc
8	en
9	l'
10	accusant
11	de
12	être
13	livré
14	à
15	des
16	manipulations
17	concernant
18	les
19	listes
20	électorales
21	qui
22	auraient
23	dû
24	servir
25	à
26	l'
27	organisation
28	du
29	de
30	le
31	référendum
32	.
Position	Tokenization	UPOS	Head	Deprel
1	Il	PRON	5	nsubj
2	a	AUX	5	aux:tense
3	par	ADP	5	advmod
4	ailleurs	ADV	3	fixed
5	dénoncé	VERB	0	root
6	le	DET	7	det
7	Maroc	PROPN	5	obj
8	en	ADP	10	mark
9	l'	PRON	10	obj
10	accusant	VERB	5	advcl
11	de	ADP	13	mark
12	être	AUX	13	aux:tense
13	livré	VERB	10	xcomp:obl
14	à	ADP	16	case
15	des	DET	16	det
16	manipulations	NOUN	13	obl:arg
17	concernant	VERB	16	acl
18	les	DET	19	det
19	listes	NOUN	17	obj
20	électorales	ADJ	19	amod
21	qui	PRON	23	nsubj
22	auraient	AUX	23	aux:tense
23	dû	VERB	19	acl:relcl
24	servir	VERB	23	xcomp:obj
25	à	ADP	27	case
26	l'	DET	27	det
27	organisation	NOUN	24	obl:arg
28	du	_	None	_
29	de	ADP	30	case
30	le	DET	30	det
31	référendum	NOUN	27	nmod
32	.	PUNCT	5	punct