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:
Ils s'emparèrent ensuite (probablement suite à une fédération de différentes tribus) des camps romains de la région (celui de Ratisbonne par exemple).
Postion	Tokenization
1	Ils
2	s'
3	emparèrent
4	ensuite
5	(
6	probablement
7	suite
8	à
9	une
10	fédération
11	de
12	différentes
13	tribus
14	)
15	des
16	de
17	les
18	camps
19	romains
20	de
21	la
22	région
23	(
24	celui
25	de
26	Ratisbonne
27	par
28	exemple
29	)
30	.
Position	Tokenization	UPOS	Head	Deprel
1	Ils	PRON	3	nsubj
2	s'	PRON	3	dep:comp
3	emparèrent	VERB	0	root
4	ensuite	ADV	3	advmod
5	(	PUNCT	10	punct
6	probablement	ADV	10	advmod
7	suite	NOUN	10	case
8	à	ADP	7	fixed
9	une	DET	10	det
10	fédération	NOUN	3	obl:mod
11	de	ADP	13	case
12	différentes	DET	13	det
13	tribus	NOUN	10	nmod
14	)	PUNCT	10	punct
15	des	_	None	_
16	de	ADP	17	case
17	les	DET	17	det
18	camps	NOUN	3	obl:arg
19	romains	ADJ	17	amod
20	de	ADP	21	case
21	la	DET	21	det
22	région	NOUN	17	nmod
23	(	PUNCT	23	punct
24	celui	PRON	17	appos
25	de	ADP	25	case
26	Ratisbonne	PROPN	23	nmod
27	par	ADP	23	advmod
28	exemple	NOUN	26	fixed
29	)	PUNCT	23	punct
30	.	PUNCT	3	punct