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:
Místopředseda vlády Miroslav Macek (ODS) nám včera k tomuto diskutovanému ustanovení řekl: "Myslím si, že běžné rozhovory, které novinář příkladně s politiky dělá, by této dodatečné úpravě neměly podléhat.
Postion	Tokenization
1	Místopředseda
2	vlády
3	Miroslav
4	Macek
5	(
6	ODS
7	)
8	nám
9	včera
10	k
11	tomuto
12	diskutovanému
13	ustanovení
14	řekl
15	:
16	"
17	Myslím
18	si
19	,
20	že
21	běžné
22	rozhovory
23	,
24	které
25	novinář
26	příkladně
27	s
28	politiky
29	dělá
30	,
31	by
32	této
33	dodatečné
34	úpravě
35	neměly
36	podléhat
37	.
Position	Tokenization	UPOS	Head	Deprel
1	Místopředseda	NOUN	14	nsubj
2	vlády	NOUN	1	nmod
3	Miroslav	PROPN	1	flat
4	Macek	PROPN	1	flat
5	(	PUNCT	1	punct
6	ODS	PROPN	1	dep
7	)	PUNCT	1	punct
8	nám	PRON	14	obl:arg
9	včera	ADV	14	advmod
10	k	ADP	13	case
11	tomuto	DET	13	det
12	diskutovanému	ADJ	13	amod
13	ustanovení	NOUN	14	obl:arg
14	řekl	VERB	0	root
15	:	PUNCT	17	punct
16	"	PUNCT	17	punct
17	Myslím	VERB	14	ccomp
18	si	PRON	17	expl:pv
19	,	PUNCT	35	punct
20	že	SCONJ	35	mark
21	běžné	ADJ	22	amod
22	rozhovory	NOUN	35	nsubj
23	,	PUNCT	29	punct
24	které	DET	29	obj
25	novinář	NOUN	29	nsubj
26	příkladně	ADV	29	advmod
27	s	ADP	28	case
28	politiky	NOUN	29	obl:arg
29	dělá	VERB	22	acl:relcl
30	,	PUNCT	29	punct
31	by	AUX	35	aux
32	této	DET	34	det
33	dodatečné	ADJ	34	amod
34	úpravě	NOUN	36	obl:arg
35	neměly	VERB	17	ccomp
36	podléhat	VERB	35	xcomp
37	.	PUNCT	14	punct