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:
K 31. květnu 92 bylo z celkových 10476 hektarů pozemků ve správě Státního statku předáno městu a je využíváno k zemědělské činnosti 220 hektarů.
Postion	Tokenization
1	K
2	31
3	.
4	květnu
5	92
6	bylo
7	z
8	celkových
9	10476
10	hektarů
11	pozemků
12	ve
13	správě
14	Státního
15	statku
16	předáno
17	městu
18	a
19	je
20	využíváno
21	k
22	zemědělské
23	činnosti
24	220
25	hektarů
26	.
Position	Tokenization	UPOS	Head	Deprel
1	K	ADP	4	case
2	31	NUM	4	nummod
3	.	PUNCT	2	punct
4	květnu	NOUN	16	obl
5	92	NUM	4	nummod
6	bylo	AUX	16	aux:pass
7	z	ADP	10	case
8	celkových	ADJ	9	amod
9	10476	NUM	10	nummod:gov
10	hektarů	NOUN	16	obl
11	pozemků	NOUN	10	nmod
12	ve	ADP	13	case
13	správě	NOUN	9	nmod
14	Státního	ADJ	15	amod
15	statku	NOUN	13	nmod
16	předáno	ADJ	0	root
17	městu	NOUN	16	obl:arg
18	a	CCONJ	20	cc
19	je	AUX	20	aux:pass
20	využíváno	ADJ	16	conj
21	k	ADP	23	case
22	zemědělské	ADJ	23	amod
23	činnosti	NOUN	20	obl:arg
24	220	NUM	25	nummod:gov
25	hektarů	NOUN	16	nsubj:pass
26	.	PUNCT	16	punct