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:
Ministr kultury P. Tigrid včera na dotaz zpravodaje LN potvrdil, že jeho názor na budoucnost České lotynky se téměř shoduje se stanoviskem poslance F. Kozla.
Postion	Tokenization
1	Ministr
2	kultury
3	P
4	.
5	Tigrid
6	včera
7	na
8	dotaz
9	zpravodaje
10	LN
11	potvrdil
12	,
13	že
14	jeho
15	názor
16	na
17	budoucnost
18	České
19	lotynky
20	se
21	téměř
22	shoduje
23	se
24	stanoviskem
25	poslance
26	F
27	.
28	Kozla
29	.
Position	Tokenization	UPOS	Head	Deprel
1	Ministr	NOUN	11	nsubj
2	kultury	NOUN	1	nmod
3	P	PROPN	1	flat
4	.	PUNCT	3	punct
5	Tigrid	PROPN	1	flat
6	včera	ADV	11	advmod
7	na	ADP	8	case
8	dotaz	NOUN	11	obl
9	zpravodaje	NOUN	8	nmod
10	LN	PROPN	9	nmod
11	potvrdil	VERB	0	root
12	,	PUNCT	22	punct
13	že	SCONJ	22	mark
14	jeho	DET	15	det
15	názor	NOUN	22	nsubj
16	na	ADP	17	case
17	budoucnost	NOUN	15	nmod
18	České	ADJ	19	amod
19	lotynky	NOUN	17	nmod
20	se	PRON	22	expl:pv
21	téměř	ADV	22	advmod:emph
22	shoduje	VERB	11	ccomp
23	se	ADP	24	case
24	stanoviskem	NOUN	22	obl:arg
25	poslance	NOUN	24	nmod
26	F	PROPN	25	flat
27	.	PUNCT	26	punct
28	Kozla	PROPN	25	flat
29	.	PUNCT	11	punct