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 ville, qui longe la mer sur trente-neuf kilomètres de côtes, est la plus méridionale de Provence et son relief côtier alterne entre rivages de sable ou falaises rocheuses.
Postion	Tokenization
1	La
2	ville
3	,
4	qui
5	longe
6	la
7	mer
8	sur
9	trente-neuf
10	kilomètres
11	de
12	côtes
13	,
14	est
15	la
16	plus
17	méridionale
18	de
19	Provence
20	et
21	son
22	relief
23	côtier
24	alterne
25	entre
26	rivages
27	de
28	sable
29	ou
30	falaises
31	rocheuses
32	.
Position	Tokenization	UPOS	Head	Deprel
1	La	DET	2	det
2	ville	NOUN	17	nsubj
3	,	PUNCT	5	punct
4	qui	PRON	5	nsubj
5	longe	VERB	2	acl:relcl
6	la	DET	7	det
7	mer	NOUN	5	obj
8	sur	ADP	10	case
9	trente-neuf	NUM	10	nummod
10	kilomètres	NOUN	5	obl:mod
11	de	ADP	12	case
12	côtes	NOUN	10	nmod
13	,	PUNCT	5	punct
14	est	AUX	17	cop
15	la	DET	17	det
16	plus	ADV	17	advmod
17	méridionale	ADJ	0	root
18	de	ADP	19	case
19	Provence	PROPN	17	obl:mod
20	et	CCONJ	24	cc
21	son	DET	22	det
22	relief	NOUN	24	nsubj
23	côtier	ADJ	22	amod
24	alterne	VERB	17	conj
25	entre	ADP	26	case
26	rivages	NOUN	24	obl:mod
27	de	ADP	28	case
28	sable	NOUN	26	nmod
29	ou	CCONJ	30	cc
30	falaises	NOUN	26	conj
31	rocheuses	ADJ	30	amod
32	.	PUNCT	17	punct