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:
Podle ministra sociálně liberálního kabinetu Gyuly Horna Maďarsko a Česká republika spolu mohou dobře spolupracovat i přes ideologické rozdíly vlád obou zemí.
Postion	Tokenization
1	Podle
2	ministra
3	sociálně
4	liberálního
5	kabinetu
6	Gyuly
7	Horna
8	Maďarsko
9	a
10	Česká
11	republika
12	spolu
13	mohou
14	dobře
15	spolupracovat
16	i
17	přes
18	ideologické
19	rozdíly
20	vlád
21	obou
22	zemí
23	.
Position	Tokenization	UPOS	Head	Deprel
1	Podle	ADP	2	case
2	ministra	NOUN	13	obl
3	sociálně	ADV	4	advmod
4	liberálního	ADJ	5	amod
5	kabinetu	NOUN	2	nmod
6	Gyuly	PROPN	2	flat
7	Horna	PROPN	2	flat
8	Maďarsko	PROPN	13	nsubj
9	a	CCONJ	11	cc
10	Česká	ADJ	11	amod
11	republika	NOUN	8	conj
12	spolu	ADV	13	advmod
13	mohou	VERB	0	root
14	dobře	ADV	15	advmod
15	spolupracovat	VERB	13	xcomp
16	i	CCONJ	19	advmod:emph
17	přes	ADP	19	case
18	ideologické	ADJ	19	amod
19	rozdíly	NOUN	15	obl
20	vlád	NOUN	19	nmod
21	obou	NUM	22	nummod
22	zemí	NOUN	20	nmod
23	.	PUNCT	13	punct