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:
Le Français défendra les couleurs de l'Olympique Lyonnais, tandis que l'autre pilote tricolore de ce championnat, Franck Montagny, roulera pour le compte des Girondins de Bordeaux.
Postion	Tokenization
1	Le
2	Français
3	défendra
4	les
5	couleurs
6	de
7	l'
8	Olympique
9	Lyonnais
10	,
11	tandis
12	que
13	l'
14	autre
15	pilote
16	tricolore
17	de
18	ce
19	championnat
20	,
21	Franck
22	Montagny
23	,
24	roulera
25	pour
26	le
27	compte
28	des
29	de
30	les
31	Girondins
32	de
33	Bordeaux
34	.
Position	Tokenization	UPOS	Head	Deprel
1	Le	DET	2	det
2	Français	NOUN	3	nsubj
3	défendra	VERB	0	root
4	les	DET	5	det
5	couleurs	NOUN	3	obj
6	de	ADP	8	case
7	l'	DET	8	det
8	Olympique	PROPN	5	nmod
9	Lyonnais	PROPN	8	flat:name
10	,	PUNCT	24	punct
11	tandis	ADV	24	mark
12	que	SCONJ	11	fixed
13	l'	DET	15	det
14	autre	ADJ	15	amod
15	pilote	NOUN	24	nsubj
16	tricolore	ADJ	15	amod
17	de	ADP	19	case
18	ce	DET	19	det
19	championnat	NOUN	15	nmod
20	,	PUNCT	21	punct
21	Franck	PROPN	15	appos
22	Montagny	PROPN	21	flat:name
23	,	PUNCT	21	punct
24	roulera	VERB	3	advcl
25	pour	ADP	27	case
26	le	DET	27	det
27	compte	NOUN	24	obl:mod
28	des	_	None	_
29	de	ADP	30	case
30	les	DET	30	det
31	Girondins	PROPN	27	nmod
32	de	ADP	32	case
33	Bordeaux	PROPN	30	nmod
34	.	PUNCT	3	punct