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:
Après les nones de décembre, Cicéron envoie un résumé très détaillé de l'affaire à Pompée, qui a surtout pour effet d'agacer le destinataire.
Postion	Tokenization
1	Après
2	les
3	nones
4	de
5	décembre
6	,
7	Cicéron
8	envoie
9	un
10	résumé
11	très
12	détaillé
13	de
14	l'
15	affaire
16	à
17	Pompée
18	,
19	qui
20	a
21	surtout
22	pour
23	effet
24	d'
25	agacer
26	le
27	destinataire
28	.
Position	Tokenization	UPOS	Head	Deprel
1	Après	ADP	3	case
2	les	DET	3	det
3	nones	NOUN	8	obl:mod
4	de	ADP	5	case
5	décembre	NOUN	3	nmod
6	,	PUNCT	3	punct
7	Cicéron	PROPN	8	nsubj
8	envoie	VERB	0	root
9	un	DET	10	det
10	résumé	NOUN	8	obj
11	très	ADV	12	advmod
12	détaillé	VERB	10	acl
13	de	ADP	15	case
14	l'	DET	15	det
15	affaire	NOUN	12	obl:mod
16	à	ADP	17	case
17	Pompée	PROPN	15	nmod
18	,	PUNCT	20	punct
19	qui	PRON	20	nsubj
20	a	VERB	10	acl:relcl
21	surtout	ADV	20	advmod
22	pour	ADP	23	case
23	effet	NOUN	20	obl:arg
24	d'	ADP	25	mark
25	agacer	VERB	20	ccomp:obj
26	le	DET	27	det
27	destinataire	NOUN	25	obj
28	.	PUNCT	8	punct