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: Je také pravděpodobné, že vláda by se pokoušela ze stejného důvodu - co nejvíce majetku (podniků, půdy nerostných nalezišť) prodávat do zahraničí - a to v neoptimálním cenovém režimu: stůj co stůj.
Position	Tokenization	UPOS	Head	Deprel
1	Je	AUX	3	cop
2	také	ADV	3	advmod
3	pravděpodobné	ADJ	0	root
4	,	PUNCT	9	punct
5	že	SCONJ	9	mark
6	vláda	NOUN	9	nsubj
7	by	AUX	9	aux
8	se	PRON	9	expl:pv
9	pokoušela	VERB	3	csubj
10	ze	ADP	12	case
11	stejného	ADJ	12	amod
12	důvodu	NOUN	9	obl
13	-	PUNCT	24	punct
14	co	ADV	15	advmod
15	nejvíce	ADV	24	obj
16	majetku	NOUN	15	nmod
17	(	PUNCT	18	punct
18	podniků	NOUN	16	appos
19	,	PUNCT	20	punct
20	půdy	NOUN	18	conj
21	nerostných	ADJ	22	amod
22	nalezišť	NOUN	20	nmod
23	)	PUNCT	18	punct
24	prodávat	VERB	9	xcomp
25	do	ADP	26	case
26	zahraničí	NOUN	24	obl
27	-	PUNCT	33	punct
28	a	CCONJ	33	cc
29	to	PART	28	fixed
30	v	ADP	33	case
31	neoptimálním	ADJ	33	amod
32	cenovém	ADJ	33	amod
33	režimu	NOUN	24	obl
34	:	PUNCT	35	punct
35	stůj	VERB	33	advmod
36	co	ADV	35	fixed
37	stůj	VERB	35	fixed
38	.	PUNCT	3	punct