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:
Lors du vote, aidé par cette erreur stratégique de Reagan, Ford parvient à remporter nomination dès le premier tour avec quelques voix au-dessus de la majorité absolue.
Postion	Tokenization
1	Lors
2	du
3	de
4	le
5	vote
6	,
7	aidé
8	par
9	cette
10	erreur
11	stratégique
12	de
13	Reagan
14	,
15	Ford
16	parvient
17	à
18	remporter
19	nomination
20	dès
21	le
22	premier
23	tour
24	avec
25	quelques
26	voix
27	au-dessus
28	de
29	la
30	majorité
31	absolue
32	.
Position	Tokenization	UPOS	Head	Deprel
1	Lors	ADV	15	advmod
2	du	_	None	_
3	de	ADP	4	case
4	le	DET	4	det
5	vote	NOUN	1	obl:arg
6	,	PUNCT	1	punct
7	aidé	VERB	15	advcl
8	par	ADP	9	case
9	cette	DET	9	det
10	erreur	NOUN	6	obl:agent
11	stratégique	ADJ	9	amod
12	de	ADP	12	case
13	Reagan	PROPN	9	nmod
14	,	PUNCT	6	punct
15	Ford	PROPN	15	nsubj
16	parvient	VERB	0	root
17	à	ADP	17	mark
18	remporter	VERB	15	xcomp:obl
19	nomination	NOUN	17	obj
20	dès	ADP	22	case
21	le	DET	22	det
22	premier	ADJ	22	amod
23	tour	NOUN	17	obl:mod
24	avec	ADP	25	case
25	quelques	DET	25	det
26	voix	NOUN	17	obl:mod
27	au-dessus	ADV	25	advmod
28	de	ADP	29	case
29	la	DET	29	det
30	majorité	NOUN	26	obl:arg
31	absolue	ADJ	29	amod
32	.	PUNCT	15	punct