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:
Snad všechna církevně reformní hnutí minulosti čerpala svou ideologii z faktu, že Písmo hovoří o majetku a bohatství takřka výhradně v negativních souvislostech.
Postion	Tokenization
1	Snad
2	všechna
3	církevně
4	reformní
5	hnutí
6	minulosti
7	čerpala
8	svou
9	ideologii
10	z
11	faktu
12	,
13	že
14	Písmo
15	hovoří
16	o
17	majetku
18	a
19	bohatství
20	takřka
21	výhradně
22	v
23	negativních
24	souvislostech
25	.
Position	Tokenization	UPOS	Head	Deprel
1	Snad	ADV	5	advmod:emph
2	všechna	DET	5	det
3	církevně	ADV	4	advmod
4	reformní	ADJ	5	amod
5	hnutí	NOUN	7	nsubj
6	minulosti	NOUN	5	nmod
7	čerpala	VERB	0	root
8	svou	DET	9	det
9	ideologii	NOUN	7	obj
10	z	ADP	11	case
11	faktu	NOUN	7	obl:arg
12	,	PUNCT	15	punct
13	že	SCONJ	15	mark
14	Písmo	NOUN	15	nsubj
15	hovoří	VERB	11	acl
16	o	ADP	17	case
17	majetku	NOUN	15	obl:arg
18	a	CCONJ	19	cc
19	bohatství	NOUN	17	conj
20	takřka	ADV	21	advmod:emph
21	výhradně	ADV	15	advmod
22	v	ADP	24	case
23	negativních	ADJ	24	amod
24	souvislostech	NOUN	15	obl
25	.	PUNCT	7	punct