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:
Mj. takto se měl 21. listopadu 1989 vyjádřit na schůzi ZO KSČ federálního ministerstva vnitra Jan Bělíček, současný pracovník sekretariátu ministra vnitra Jana Rumla.
Postion	Tokenization
1	Mj
2	.
3	takto
4	se
5	měl
6	21
7	.
8	listopadu
9	1989
10	vyjádřit
11	na
12	schůzi
13	ZO
14	KSČ
15	federálního
16	ministerstva
17	vnitra
18	Jan
19	Bělíček
20	,
21	současný
22	pracovník
23	sekretariátu
24	ministra
25	vnitra
26	Jana
27	Rumla
28	.
Position	Tokenization	UPOS	Head	Deprel
1	Mj	ADV	5	advmod
2	.	PUNCT	1	punct
3	takto	ADV	10	advmod
4	se	PRON	10	expl:pv
5	měl	VERB	0	root
6	21	NUM	8	nummod
7	.	PUNCT	6	punct
8	listopadu	NOUN	5	obl
9	1989	NUM	8	nummod
10	vyjádřit	VERB	5	xcomp
11	na	ADP	12	case
12	schůzi	NOUN	5	obl
13	ZO	PROPN	12	nmod
14	KSČ	PROPN	13	nmod
15	federálního	ADJ	16	amod
16	ministerstva	NOUN	13	nmod
17	vnitra	NOUN	16	nmod
18	Jan	PROPN	5	nsubj
19	Bělíček	PROPN	18	flat
20	,	PUNCT	22	punct
21	současný	ADJ	22	amod
22	pracovník	NOUN	18	appos
23	sekretariátu	NOUN	22	nmod
24	ministra	NOUN	23	nmod
25	vnitra	NOUN	24	nmod
26	Jana	PROPN	24	flat
27	Rumla	PROPN	24	flat
28	.	PUNCT	5	punct