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 Grand Prix de Detroit, Keke Rosberg, parti cinquième, prend la tête de la course et remporte l'épreuve.
Postion	Tokenization
1	Lors
2	du
3	de
4	le
5	Grand
6	Prix
7	de
8	Detroit
9	,
10	Keke
11	Rosberg
12	,
13	parti
14	cinquième
15	,
16	prend
17	la
18	tête
19	de
20	la
21	course
22	et
23	remporte
24	l'
25	épreuve
26	.
Position	Tokenization	UPOS	Head	Deprel
1	Lors	ADV	15	advmod
2	du	_	None	_
3	de	ADP	5	case
4	le	DET	5	det
5	Grand	ADJ	5	amod
6	Prix	NOUN	1	obl:arg
7	de	ADP	7	case
8	Detroit	PROPN	5	nmod
9	,	PUNCT	5	punct
10	Keke	PROPN	15	nsubj
11	Rosberg	PROPN	9	flat:name
12	,	PUNCT	12	punct
13	parti	VERB	9	acl
14	cinquième	ADJ	12	xcomp:pred
15	,	PUNCT	12	punct
16	prend	VERB	0	root
17	la	DET	17	det
18	tête	NOUN	15	obj
19	de	ADP	20	case
20	la	DET	20	det
21	course	NOUN	17	nmod
22	et	CCONJ	22	cc
23	remporte	VERB	15	conj
24	l'	DET	24	det
25	épreuve	NOUN	22	obj
26	.	PUNCT	15	punct