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:
Připomněl nám, že v politických diskusích o restitucích církevního majetku je třeba umístit argument o duchovní důležitosti církevních institucí tam, kam patří: na místo nejposlednější.
Postion	Tokenization
1	Připomněl
2	nám
3	,
4	že
5	v
6	politických
7	diskusích
8	o
9	restitucích
10	církevního
11	majetku
12	je
13	třeba
14	umístit
15	argument
16	o
17	duchovní
18	důležitosti
19	církevních
20	institucí
21	tam
22	,
23	kam
24	patří
25	:
26	na
27	místo
28	nejposlednější
29	.
Position	Tokenization	UPOS	Head	Deprel
1	Připomněl	VERB	0	root
2	nám	PRON	1	obl:arg
3	,	PUNCT	13	punct
4	že	SCONJ	13	mark
5	v	ADP	7	case
6	politických	ADJ	7	amod
7	diskusích	NOUN	13	obl
8	o	ADP	9	case
9	restitucích	NOUN	7	nmod
10	církevního	ADJ	11	amod
11	majetku	NOUN	9	nmod
12	je	AUX	13	cop
13	třeba	ADJ	1	ccomp
14	umístit	VERB	13	csubj
15	argument	NOUN	14	obj
16	o	ADP	18	case
17	duchovní	ADJ	18	amod
18	důležitosti	NOUN	15	nmod
19	církevních	ADJ	20	amod
20	institucí	NOUN	18	nmod
21	tam	ADV	14	advmod
22	,	PUNCT	24	punct
23	kam	ADV	24	advmod
24	patří	VERB	14	advcl
25	:	PUNCT	27	punct
26	na	ADP	27	case
27	místo	NOUN	24	appos
28	nejposlednější	ADJ	27	amod
29	.	PUNCT	1	punct