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:
Son origine remonte à l'époque de la réforme protestante, celle-ci gagna Strasbourg au XVIe siècle et la ville libre d'empire fut alors convertie au protestantisme.
Postion	Tokenization
1	Son
2	origine
3	remonte
4	à
5	l'
6	époque
7	de
8	la
9	réforme
10	protestante
11	,
12	celle-ci
13	gagna
14	Strasbourg
15	au
16	à
17	le
18	XVIe
19	siècle
20	et
21	la
22	ville
23	libre
24	d'
25	empire
26	fut
27	alors
28	convertie
29	au
30	à
31	le
32	protestantisme
33	.
Position	Tokenization	UPOS	Head	Deprel
1	Son	DET	2	det
2	origine	NOUN	3	nsubj
3	remonte	VERB	0	root
4	à	ADP	6	case
5	l'	DET	6	det
6	époque	NOUN	3	obl:arg
7	de	ADP	9	case
8	la	DET	9	det
9	réforme	NOUN	6	nmod
10	protestante	ADJ	9	amod
11	,	PUNCT	13	punct
12	celle-ci	PRON	13	nsubj
13	gagna	VERB	3	conj
14	Strasbourg	PROPN	13	obj
15	au	_	None	_
16	à	ADP	18	case
17	le	DET	18	det
18	XVIe	ADJ	18	amod
19	siècle	NOUN	13	obl:mod
20	et	CCONJ	27	cc
21	la	DET	21	det
22	ville	NOUN	27	nsubj:pass
23	libre	ADJ	21	amod
24	d'	ADP	24	case
25	empire	NOUN	21	nmod
26	fut	AUX	27	aux:pass
27	alors	ADV	27	advmod
28	convertie	VERB	13	conj
29	au	_	None	_
30	à	ADP	30	case
31	le	DET	30	det
32	protestantisme	NOUN	27	obl:arg
33	.	PUNCT	3	punct