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, že k odstranění některých trpkých historických zkušeností vzájemné minulosti je především třeba dále budovat vzájemnou důvěru a hledět do budoucna.
Postion	Tokenization
1	Připomněl
2	,
3	že
4	k
5	odstranění
6	některých
7	trpkých
8	historických
9	zkušeností
10	vzájemné
11	minulosti
12	je
13	především
14	třeba
15	dále
16	budovat
17	vzájemnou
18	důvěru
19	a
20	hledět
21	do
22	budoucna
23	.
Position	Tokenization	UPOS	Head	Deprel
1	Připomněl	VERB	0	root
2	,	PUNCT	14	punct
3	že	SCONJ	14	mark
4	k	ADP	5	case
5	odstranění	NOUN	14	obl
6	některých	DET	9	det
7	trpkých	ADJ	9	amod
8	historických	ADJ	9	amod
9	zkušeností	NOUN	5	nmod
10	vzájemné	ADJ	11	amod
11	minulosti	NOUN	9	nmod
12	je	AUX	14	cop
13	především	ADV	14	advmod:emph
14	třeba	ADJ	1	ccomp
15	dále	ADV	16	advmod
16	budovat	VERB	14	csubj
17	vzájemnou	ADJ	18	amod
18	důvěru	NOUN	16	obj
19	a	CCONJ	20	cc
20	hledět	VERB	16	conj
21	do	ADP	22	case
22	budoucna	NOUN	20	obl
23	.	PUNCT	1	punct