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:
1 Après la réélection de François Mitterrand, un nouveau Premier ministre est nommé avant la dissolution de l'Assemblée nationale.
Postion	Tokenization
1	1
2	Après
3	la
4	réélection
5	de
6	François
7	Mitterrand
8	,
9	un
10	nouveau
11	Premier
12	ministre
13	est
14	nommé
15	avant
16	la
17	dissolution
18	de
19	l'
20	Assemblée
21	nationale
22	.
Position	Tokenization	UPOS	Head	Deprel
1	1	NUM	14	parataxis
2	Après	ADP	4	case
3	la	DET	4	det
4	réélection	NOUN	14	obl:mod
5	de	ADP	6	case
6	François	PROPN	4	nmod
7	Mitterrand	PROPN	6	flat:name
8	,	PUNCT	4	punct
9	un	DET	12	det
10	nouveau	ADJ	12	amod
11	Premier	ADJ	12	amod
12	ministre	NOUN	14	nsubj:pass
13	est	AUX	14	aux:pass
14	nommé	VERB	0	root
15	avant	ADP	17	case
16	la	DET	17	det
17	dissolution	NOUN	14	obl:mod
18	de	ADP	20	case
19	l'	DET	20	det
20	Assemblée	NOUN	17	nmod
21	nationale	ADJ	20	amod
22	.	PUNCT	14	punct