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:
Poslední čtyři roky Národní galerie se změnily v nepřetržitou řadu pokusů, jak řešit její problémy, řekl včera ředitel odboru muzeí a galerií ministerstva kultury Jiří Žalman.
Postion	Tokenization
1	Poslední
2	čtyři
3	roky
4	Národní
5	galerie
6	se
7	změnily
8	v
9	nepřetržitou
10	řadu
11	pokusů
12	,
13	jak
14	řešit
15	její
16	problémy
17	,
18	řekl
19	včera
20	ředitel
21	odboru
22	muzeí
23	a
24	galerií
25	ministerstva
26	kultury
27	Jiří
28	Žalman
29	.
Position	Tokenization	UPOS	Head	Deprel
1	Poslední	ADJ	3	amod
2	čtyři	NUM	3	nummod
3	roky	NOUN	7	nsubj
4	Národní	ADJ	5	amod
5	galerie	NOUN	3	nmod
6	se	PRON	7	expl:pv
7	změnily	VERB	18	ccomp
8	v	ADP	10	case
9	nepřetržitou	ADJ	10	amod
10	řadu	NOUN	7	obl:arg
11	pokusů	NOUN	10	nmod
12	,	PUNCT	14	punct
13	jak	ADV	14	advmod
14	řešit	VERB	11	acl
15	její	DET	16	det
16	problémy	NOUN	14	obj
17	,	PUNCT	7	punct
18	řekl	VERB	0	root
19	včera	ADV	18	advmod
20	ředitel	NOUN	18	nsubj
21	odboru	NOUN	20	nmod
22	muzeí	NOUN	21	nmod
23	a	CCONJ	24	cc
24	galerií	NOUN	22	conj
25	ministerstva	NOUN	21	nmod
26	kultury	NOUN	25	nmod
27	Jiří	PROPN	20	flat
28	Žalman	PROPN	20	flat
29	.	PUNCT	18	punct