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:
Jde o bývalé ředitele Karlovarského porcelánu, kteří byli v letech 1991 až 1992 postupně odvoláni ze svých funkcí ministrem průmyslu a obchodu Vladimírem Dlouhým.
Postion	Tokenization
1	Jde
2	o
3	bývalé
4	ředitele
5	Karlovarského
6	porcelánu
7	,
8	kteří
9	byli
10	v
11	letech
12	1991
13	až
14	1992
15	postupně
16	odvoláni
17	ze
18	svých
19	funkcí
20	ministrem
21	průmyslu
22	a
23	obchodu
24	Vladimírem
25	Dlouhým
26	.
Position	Tokenization	UPOS	Head	Deprel
1	Jde	VERB	0	root
2	o	ADP	4	case
3	bývalé	ADJ	4	amod
4	ředitele	NOUN	1	obl:arg
5	Karlovarského	ADJ	6	amod
6	porcelánu	NOUN	4	nmod
7	,	PUNCT	16	punct
8	kteří	DET	16	nsubj:pass
9	byli	AUX	16	aux:pass
10	v	ADP	11	case
11	letech	NOUN	16	obl
12	1991	NUM	11	nummod
13	až	CCONJ	14	cc
14	1992	NUM	12	conj
15	postupně	ADV	16	advmod
16	odvoláni	ADJ	4	amod
17	ze	ADP	19	case
18	svých	DET	19	det
19	funkcí	NOUN	16	obl
20	ministrem	NOUN	16	obl:arg
21	průmyslu	NOUN	20	nmod
22	a	CCONJ	23	cc
23	obchodu	NOUN	21	conj
24	Vladimírem	PROPN	20	flat
25	Dlouhým	PROPN	20	flat
26	.	PUNCT	1	punct