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:
La route D80 traverse telle une « grande corniche » (ainsi appelée localement) la commune à plus de 100 m d'altitude en moyenne en longeant la côte.
Postion	Tokenization
1	La
2	route
3	D80
4	traverse
5	telle
6	une
7	«
8	grande
9	corniche
10	»
11	(
12	ainsi
13	appelée
14	localement
15	)
16	la
17	commune
18	à
19	plus
20	de
21	100
22	m
23	d'
24	altitude
25	en
26	moyenne
27	en
28	longeant
29	la
30	côte
31	.
Position	Tokenization	UPOS	Head	Deprel
1	La	DET	2	det
2	route	NOUN	4	nsubj
3	D80	X	2	appos
4	traverse	VERB	0	root
5	telle	ADJ	4	advcl
6	une	DET	9	det
7	«	PUNCT	9	punct
8	grande	ADJ	9	amod
9	corniche	NOUN	5	obj
10	»	PUNCT	9	punct
11	(	PUNCT	13	punct
12	ainsi	ADV	13	advmod
13	appelée	VERB	9	acl
14	localement	ADV	13	advmod
15	)	PUNCT	13	punct
16	la	DET	17	det
17	commune	NOUN	4	obj
18	à	ADP	19	case
19	plus	ADV	4	obl:mod
20	de	ADP	22	case
21	100	NUM	22	nummod
22	m	NOUN	19	dep:comp
23	d'	ADP	24	case
24	altitude	NOUN	22	nmod
25	en	ADP	26	case
26	moyenne	NOUN	22	nmod
27	en	ADP	28	mark
28	longeant	VERB	4	advcl
29	la	DET	30	det
30	côte	NOUN	28	obj
31	.	PUNCT	4	punct