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 commune s'étend sur un plateau de faible altitude qui se termine le long de la Loire par un abrupt très marqué : la côte Saint-Sébastien.
Postion	Tokenization
1	La
2	commune
3	s'
4	étend
5	sur
6	un
7	plateau
8	de
9	faible
10	altitude
11	qui
12	se
13	termine
14	le
15	long
16	de
17	la
18	Loire
19	par
20	un
21	abrupt
22	très
23	marqué
24	:
25	la
26	côte
27	Saint-Sébastien
28	.
Position	Tokenization	UPOS	Head	Deprel
1	La	DET	2	det
2	commune	NOUN	4	nsubj
3	s'	PRON	4	dep:comp
4	étend	VERB	0	root
5	sur	ADP	7	case
6	un	DET	7	det
7	plateau	NOUN	4	obl:mod
8	de	ADP	10	case
9	faible	ADJ	10	amod
10	altitude	NOUN	7	nmod
11	qui	PRON	13	nsubj:pass
12	se	PRON	13	expl:pass
13	termine	VERB	7	acl:relcl
14	le	DET	13	advmod
15	long	NOUN	14	fixed
16	de	ADP	18	case
17	la	DET	18	det
18	Loire	PROPN	14	obl:arg
19	par	ADP	21	case
20	un	DET	21	det
21	abrupt	NOUN	13	obl:arg
22	très	ADV	23	advmod
23	marqué	VERB	21	acl
24	:	PUNCT	26	punct
25	la	DET	26	det
26	côte	NOUN	21	appos
27	Saint-Sébastien	PROPN	26	appos
28	.	PUNCT	4	punct