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:
Ministr Pilip včera prohlásil, že by ministerstvo jako zakladatel SPN mělo žaloby podat, protože v tomto případě byly obejity běžné kroky privatizace.
Postion	Tokenization
1	Ministr
2	Pilip
3	včera
4	prohlásil
5	,
6	že
7	by
8	ministerstvo
9	jako
10	zakladatel
11	SPN
12	mělo
13	žaloby
14	podat
15	,
16	protože
17	v
18	tomto
19	případě
20	byly
21	obejity
22	běžné
23	kroky
24	privatizace
25	.
Position	Tokenization	UPOS	Head	Deprel
1	Ministr	NOUN	4	nsubj
2	Pilip	PROPN	1	flat
3	včera	ADV	4	advmod
4	prohlásil	VERB	0	root
5	,	PUNCT	12	punct
6	že	SCONJ	12	mark
7	by	AUX	12	aux
8	ministerstvo	NOUN	12	nsubj
9	jako	SCONJ	10	mark
10	zakladatel	NOUN	8	xcomp
11	SPN	PROPN	10	nmod
12	mělo	VERB	4	ccomp
13	žaloby	NOUN	14	obj
14	podat	VERB	12	xcomp
15	,	PUNCT	21	punct
16	protože	SCONJ	21	mark
17	v	ADP	19	case
18	tomto	DET	19	det
19	případě	NOUN	21	obl
20	byly	AUX	21	aux:pass
21	obejity	ADJ	12	obl
22	běžné	ADJ	23	amod
23	kroky	NOUN	21	nsubj:pass
24	privatizace	NOUN	23	nmod
25	.	PUNCT	4	punct