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:
Irmer zároveň uvedl, že se v ČR velmi přeceňuje to, co tvrdí a říkají ke vzájemným problémům minulosti sudetoněmečtí funkcionáři.
Postion	Tokenization
1	Irmer
2	zároveň
3	uvedl
4	,
5	že
6	se
7	v
8	ČR
9	velmi
10	přeceňuje
11	to
12	,
13	co
14	tvrdí
15	a
16	říkají
17	ke
18	vzájemným
19	problémům
20	minulosti
21	sudetoněmečtí
22	funkcionáři
23	.
Position	Tokenization	UPOS	Head	Deprel
1	Irmer	PROPN	3	nsubj
2	zároveň	ADV	3	advmod
3	uvedl	VERB	0	root
4	,	PUNCT	10	punct
5	že	SCONJ	10	mark
6	se	PRON	10	expl:pass
7	v	ADP	8	case
8	ČR	PROPN	10	obl
9	velmi	ADV	10	advmod
10	přeceňuje	VERB	3	ccomp
11	to	DET	10	nsubj:pass
12	,	PUNCT	14	punct
13	co	PRON	14	obj
14	tvrdí	VERB	11	acl:relcl
15	a	CCONJ	16	cc
16	říkají	VERB	14	conj
17	ke	ADP	19	case
18	vzájemným	ADJ	19	amod
19	problémům	NOUN	16	obl
20	minulosti	NOUN	19	nmod
21	sudetoněmečtí	ADJ	22	amod
22	funkcionáři	NOUN	14	nsubj
23	.	PUNCT	3	punct