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 text: Není tu žádná velká - například náboženská - ideologie a dokonce žádná nenávist mezi křesťany a Maury: Cid proti nim bojuje v podstatě jen proto, že musí uživit sebe a své lidi a chce získat ztracenou prestiž.
Position	Tokenization	UPOS	Head	Deprel
1	Není	VERB	0	root
2	tu	ADV	1	advmod
3	žádná	DET	9	det
4	velká	ADJ	9	amod
5	-	PUNCT	7	punct
6	například	ADV	7	cc
7	náboženská	ADJ	9	amod
8	-	PUNCT	7	punct
9	ideologie	NOUN	1	nsubj
10	a	CCONJ	13	cc
11	dokonce	ADV	13	advmod:emph
12	žádná	DET	13	det
13	nenávist	NOUN	9	conj
14	mezi	ADP	15	case
15	křesťany	NOUN	13	nmod
16	a	CCONJ	17	cc
17	Maury	PROPN	15	conj
18	:	PUNCT	22	punct
19	Cid	PROPN	22	nsubj
20	proti	ADP	21	case
21	nim	PRON	22	obl:arg
22	bojuje	VERB	1	conj
23	v	ADP	24	case
24	podstatě	NOUN	22	obl
25	jen	PART	26	advmod:emph
26	proto	ADV	22	advmod
27	,	PUNCT	29	punct
28	že	SCONJ	29	mark
29	musí	VERB	22	advcl
30	uživit	VERB	29	xcomp
31	sebe	PRON	30	obj
32	a	CCONJ	34	cc
33	své	DET	34	det
34	lidi	NOUN	31	conj
35	a	CCONJ	36	cc
36	chce	VERB	29	conj
37	získat	VERB	36	xcomp
38	ztracenou	ADJ	39	amod
39	prestiž	NOUN	37	obj
40	.	PUNCT	1	punct