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:
Bohatší Vlámové se chtějí od francouzsky hovořících Valonů oddělit - podle svého vlastního vyjádření - "podobně jako chytří Češi od chudých Slováků".
Postion	Tokenization
1	Bohatší
2	Vlámové
3	se
4	chtějí
5	od
6	francouzsky
7	hovořících
8	Valonů
9	oddělit
10	-
11	podle
12	svého
13	vlastního
14	vyjádření
15	-
16	"
17	podobně
18	jako
19	chytří
20	Češi
21	od
22	chudých
23	Slováků
24	"
25	.
Position	Tokenization	UPOS	Head	Deprel
1	Bohatší	ADJ	2	amod
2	Vlámové	PROPN	4	nsubj
3	se	PRON	9	obj
4	chtějí	VERB	0	root
5	od	ADP	8	case
6	francouzsky	ADV	7	advmod
7	hovořících	ADJ	8	obl
8	Valonů	PROPN	9	obl:arg
9	oddělit	VERB	4	xcomp
10	-	PUNCT	14	punct
11	podle	ADP	14	case
12	svého	DET	14	det
13	vlastního	ADJ	14	amod
14	vyjádření	NOUN	9	obl
15	-	PUNCT	14	punct
16	"	PUNCT	17	punct
17	podobně	ADV	9	advmod
18	jako	SCONJ	20	mark
19	chytří	ADJ	20	amod
20	Češi	PROPN	17	advcl
21	od	ADP	23	case
22	chudých	ADJ	23	amod
23	Slováků	PROPN	20	dep
24	"	PUNCT	17	punct
25	.	PUNCT	4	punct