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:
Součástí privatizace v uvedených prostorech je i majetek státního podniku Vojenské lesy a statky Praha, jehož převážná část již byla zveřejněna 8. dubna.
Postion	Tokenization
1	Součástí
2	privatizace
3	v
4	uvedených
5	prostorech
6	je
7	i
8	majetek
9	státního
10	podniku
11	Vojenské
12	lesy
13	a
14	statky
15	Praha
16	,
17	jehož
18	převážná
19	část
20	již
21	byla
22	zveřejněna
23	8
24	.
25	dubna
26	.
Position	Tokenization	UPOS	Head	Deprel
1	Součástí	NOUN	0	root
2	privatizace	NOUN	1	nmod
3	v	ADP	5	case
4	uvedených	ADJ	5	amod
5	prostorech	NOUN	2	nmod
6	je	AUX	1	cop
7	i	CCONJ	8	advmod:emph
8	majetek	NOUN	1	nsubj
9	státního	ADJ	10	amod
10	podniku	NOUN	8	nmod
11	Vojenské	ADJ	12	amod
12	lesy	NOUN	10	nmod
13	a	CCONJ	14	cc
14	statky	NOUN	12	conj
15	Praha	PROPN	12	nmod
16	,	PUNCT	22	punct
17	jehož	PRON	19	nmod
18	převážná	ADJ	19	amod
19	část	NOUN	22	nsubj:pass
20	již	ADV	22	advmod
21	byla	AUX	22	aux:pass
22	zveřejněna	ADJ	8	amod
23	8	NUM	25	nummod
24	.	PUNCT	23	punct
25	dubna	NOUN	22	obl
26	.	PUNCT	1	punct