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:
Tím nám ovšem poskytl ukázkový příklad toho, jak hluboce byla mezi geometry zakořeněná důvěra v takto jednoduše se ve světě projevující Boží nezáludnost.
Postion	Tokenization
1	Tím
2	nám
3	ovšem
4	poskytl
5	ukázkový
6	příklad
7	toho
8	,
9	jak
10	hluboce
11	byla
12	mezi
13	geometry
14	zakořeněná
15	důvěra
16	v
17	takto
18	jednoduše
19	se
20	ve
21	světě
22	projevující
23	Boží
24	nezáludnost
25	.
Position	Tokenization	UPOS	Head	Deprel
1	Tím	DET	4	obl
2	nám	PRON	4	obl:arg
3	ovšem	CCONJ	4	advmod:emph
4	poskytl	VERB	0	root
5	ukázkový	ADJ	6	amod
6	příklad	NOUN	4	obj
7	toho	DET	6	amod
8	,	PUNCT	14	punct
9	jak	ADV	10	advmod
10	hluboce	ADV	14	advmod
11	byla	AUX	14	cop
12	mezi	ADP	13	case
13	geometry	NOUN	14	obl
14	zakořeněná	ADJ	7	acl
15	důvěra	NOUN	14	nsubj
16	v	ADP	24	case
17	takto	ADV	18	advmod
18	jednoduše	ADV	22	advmod
19	se	PRON	22	expl:pv
20	ve	ADP	21	case
21	světě	NOUN	22	obl
22	projevující	ADJ	24	amod
23	Boží	ADJ	24	amod
24	nezáludnost	NOUN	15	nmod
25	.	PUNCT	4	punct