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:
Une nouvelle route était tracée, l'actuelle D 2089, que Napoléon III fit améliorer à l'occasion de son voyage en Auvergne.
Postion	Tokenization
1	Une
2	nouvelle
3	route
4	était
5	tracée
6	,
7	l'
8	actuelle
9	D
10	2089
11	,
12	que
13	Napoléon
14	III
15	fit
16	améliorer
17	à
18	l'
19	occasion
20	de
21	son
22	voyage
23	en
24	Auvergne
25	.
Position	Tokenization	UPOS	Head	Deprel
1	Une	DET	3	det
2	nouvelle	ADJ	3	amod
3	route	NOUN	5	nsubj:pass
4	était	AUX	5	aux:pass
5	tracée	VERB	0	root
6	,	PUNCT	9	punct
7	l'	DET	9	det
8	actuelle	ADJ	9	amod
9	D	PROPN	3	appos
10	2089	NUM	9	nmod
11	,	PUNCT	16	punct
12	que	PRON	16	obj
13	Napoléon	PROPN	16	nsubj:caus
14	III	NUM	13	nmod
15	fit	AUX	16	aux:caus
16	améliorer	VERB	9	acl:relcl
17	à	ADP	19	case
18	l'	DET	19	det
19	occasion	NOUN	16	obl:mod
20	de	ADP	22	case
21	son	DET	22	det
22	voyage	NOUN	19	nmod
23	en	ADP	24	case
24	Auvergne	PROPN	22	nmod
25	.	PUNCT	5	punct