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:
Mluví se často o jakési rozeklanosti české zahraniční politiky, kdy na jednom názorovém pólu stojí prezident, na druhém premiér a někde mezi nimi balancuje ministr zahraničí.
Postion	Tokenization
1	Mluví
2	se
3	často
4	o
5	jakési
6	rozeklanosti
7	české
8	zahraniční
9	politiky
10	,
11	kdy
12	na
13	jednom
14	názorovém
15	pólu
16	stojí
17	prezident
18	_
19	,
20	na
21	druhém
22	premiér
23	a
24	někde
25	mezi
26	nimi
27	balancuje
28	ministr
29	zahraničí
30	.
Position	Tokenization	UPOS	Head	Deprel
1	Mluví	VERB	0	root
2	se	PRON	1	expl:pass
3	často	ADV	1	advmod
4	o	ADP	6	case
5	jakési	DET	6	det
6	rozeklanosti	NOUN	1	obl:arg
7	české	ADJ	9	amod
8	zahraniční	ADJ	9	amod
9	politiky	NOUN	6	nmod
10	,	PUNCT	16	punct
11	kdy	ADV	16	advmod
12	na	ADP	15	case
13	jednom	NUM	15	nummod
14	názorovém	ADJ	15	amod
15	pólu	NOUN	16	obl
16	stojí	VERB	6	acl:relcl
17	prezident	NOUN	16	nsubj
18	_	_	None	_
19	,	PUNCT	20	punct
20	na	ADP	20	case
21	druhém	ADJ	16	conj
22	premiér	NOUN	20	orphan
23	a	CCONJ	26	cc
24	někde	ADV	26	advmod
25	mezi	ADP	25	case
26	nimi	PRON	26	obl
27	balancuje	VERB	16	conj
28	ministr	NOUN	26	nsubj
29	zahraničí	NOUN	27	nmod
30	.	PUNCT	1	punct