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 text: Burdátš byl spolu s druhou náměstkyní Vladislavou Gregorovou odvolán v souvislosti s prodejem dvou budov nakladatelství, které byly v zástavě u Komerční banky a podnik jimi ručil za úvěr ve výši 40 miliónů korun.
Position	Tokenization	UPOS	Head	Deprel
1	Burdátš	PROPN	9	nsubj:pass
2	byl	AUX	9	aux:pass
3	spolu	ADV	6	case
4	s	ADP	3	fixed
5	druhou	ADJ	6	amod
6	náměstkyní	NOUN	9	obl
7	Vladislavou	PROPN	6	flat
8	Gregorovou	PROPN	6	flat
9	odvolán	ADJ	0	root
10	v	ADP	13	case
11	souvislosti	NOUN	10	fixed
12	s	ADP	10	fixed
13	prodejem	NOUN	9	obl
14	dvou	NUM	15	nummod
15	budov	NOUN	13	nmod
16	nakladatelství	NOUN	15	nmod
17	,	PUNCT	19	punct
18	které	DET	19	nsubj
19	byly	VERB	15	acl:relcl
20	v	ADP	21	case
21	zástavě	NOUN	19	obl
22	u	ADP	24	case
23	Komerční	ADJ	24	amod
24	banky	NOUN	19	obl
25	a	CCONJ	28	cc
26	podnik	NOUN	28	nsubj
27	jimi	PRON	28	obl
28	ručil	VERB	19	conj
29	za	ADP	30	case
30	úvěr	NOUN	28	obl:arg
31	ve	ADP	32	case
32	výši	NOUN	30	nmod
33	40	NUM	34	nummod:gov
34	miliónů	NOUN	32	nmod
35	korun	NOUN	34	nmod
36	.	PUNCT	9	punct