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:
Místní podnikatelé se po prodeji domu proti tomuto postupu ohradili, protože se podle schváleného projektu prakticky nikdo jiný nemohl privatizace zúčastnit.
Postion	Tokenization
1	Místní
2	podnikatelé
3	se
4	po
5	prodeji
6	domu
7	proti
8	tomuto
9	postupu
10	ohradili
11	,
12	protože
13	se
14	podle
15	schváleného
16	projektu
17	prakticky
18	nikdo
19	jiný
20	nemohl
21	privatizace
22	zúčastnit
23	.
Position	Tokenization	UPOS	Head	Deprel
1	Místní	ADJ	2	amod
2	podnikatelé	NOUN	10	nsubj
3	se	PRON	10	expl:pv
4	po	ADP	5	case
5	prodeji	NOUN	10	obl
6	domu	NOUN	5	nmod
7	proti	ADP	9	case
8	tomuto	DET	9	det
9	postupu	NOUN	10	obl:arg
10	ohradili	VERB	0	root
11	,	PUNCT	20	punct
12	protože	SCONJ	20	mark
13	se	PRON	22	expl:pv
14	podle	ADP	16	case
15	schváleného	ADJ	16	amod
16	projektu	NOUN	20	obl
17	prakticky	ADV	20	advmod
18	nikdo	PRON	20	nsubj
19	jiný	ADJ	18	amod
20	nemohl	VERB	10	advcl
21	privatizace	NOUN	22	obl:arg
22	zúčastnit	VERB	20	xcomp
23	.	PUNCT	10	punct