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: Přesto však nakonec právě křesťanská církev pomohla rozhodujícím způsobem udržet v časech barbarizace některé důležité atributy antické civilizace včetně římského práva, vzdělanosti i praktické státní administrativy (města zůstávala rezidencemi biskupů).
Position	Tokenization	UPOS	Head	Deprel
1	Přesto	ADV	7	cc
2	však	CCONJ	7	cc
3	nakonec	ADV	7	advmod
4	právě	ADV	6	advmod:emph
5	křesťanská	ADJ	6	amod
6	církev	NOUN	7	nsubj
7	pomohla	VERB	0	root
8	rozhodujícím	ADJ	9	amod
9	způsobem	NOUN	7	obl
10	udržet	VERB	7	xcomp
11	v	ADP	12	case
12	časech	NOUN	10	obl
13	barbarizace	NOUN	12	nmod
14	některé	DET	16	det
15	důležité	ADJ	16	amod
16	atributy	NOUN	10	obj
17	antické	ADJ	18	amod
18	civilizace	NOUN	16	nmod
19	včetně	ADP	21	case
20	římského	ADJ	21	amod
21	práva	NOUN	16	nmod
22	,	PUNCT	23	punct
23	vzdělanosti	NOUN	21	conj
24	i	CCONJ	27	cc
25	praktické	ADJ	27	amod
26	státní	ADJ	27	amod
27	administrativy	NOUN	21	conj
28	(	PUNCT	30	punct
29	města	NOUN	30	nsubj
30	zůstávala	VERB	7	parataxis
31	rezidencemi	NOUN	30	obl:arg
32	biskupů	NOUN	31	nmod
33	)	PUNCT	30	punct
34	.	PUNCT	7	punct