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:
Na otázku LN, jak bude svaz pomáhat svým velmi starým členům v administrativních náležitostech, Čermín sdělil, že všechny k napsání žádosti osobně vyzvou a instruují.
Postion	Tokenization
1	Na
2	otázku
3	LN
4	,
5	jak
6	bude
7	svaz
8	pomáhat
9	svým
10	velmi
11	starým
12	členům
13	v
14	administrativních
15	náležitostech
16	,
17	Čermín
18	sdělil
19	,
20	že
21	všechny
22	k
23	napsání
24	žádosti
25	osobně
26	vyzvou
27	a
28	instruují
29	.
Position	Tokenization	UPOS	Head	Deprel
1	Na	ADP	2	case
2	otázku	NOUN	18	obl
3	LN	PROPN	2	nmod
4	,	PUNCT	8	punct
5	jak	ADV	8	advmod
6	bude	AUX	8	aux
7	svaz	NOUN	8	nsubj
8	pomáhat	VERB	2	acl
9	svým	DET	12	det
10	velmi	ADV	11	advmod
11	starým	ADJ	12	amod
12	členům	NOUN	8	obl:arg
13	v	ADP	15	case
14	administrativních	ADJ	15	amod
15	náležitostech	NOUN	8	obl
16	,	PUNCT	8	punct
17	Čermín	PROPN	18	nsubj
18	sdělil	VERB	0	root
19	,	PUNCT	26	punct
20	že	SCONJ	26	mark
21	všechny	DET	26	obj
22	k	ADP	23	case
23	napsání	NOUN	26	obl
24	žádosti	NOUN	23	nmod
25	osobně	ADV	26	advmod
26	vyzvou	VERB	18	ccomp
27	a	CCONJ	28	cc
28	instruují	VERB	26	conj
29	.	PUNCT	18	punct