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 Pavel Tigrid soudí, že jeho bývalý první náměstek Ladislav Kratochvíl, který stál u kolébky Lotynky, postupoval v dobré víře.
Postion	Tokenization
1	Ministr
2	kultury
3	Pavel
4	Tigrid
5	soudí
6	,
7	že
8	jeho
9	bývalý
10	první
11	náměstek
12	Ladislav
13	Kratochvíl
14	,
15	který
16	stál
17	u
18	kolébky
19	Lotynky
20	,
21	postupoval
22	v
23	dobré
24	víře
25	.
Position	Tokenization	UPOS	Head	Deprel
1	Ministr	NOUN	5	nsubj
2	kultury	NOUN	1	nmod
3	Pavel	PROPN	1	flat
4	Tigrid	PROPN	1	flat
5	soudí	VERB	0	root
6	,	PUNCT	21	punct
7	že	SCONJ	21	mark
8	jeho	DET	11	det
9	bývalý	ADJ	11	amod
10	první	ADJ	11	amod
11	náměstek	NOUN	21	nsubj
12	Ladislav	PROPN	11	flat
13	Kratochvíl	PROPN	11	flat
14	,	PUNCT	16	punct
15	který	DET	16	nsubj
16	stál	VERB	11	acl:relcl
17	u	ADP	18	case
18	kolébky	NOUN	16	obl
19	Lotynky	NOUN	18	nmod
20	,	PUNCT	16	punct
21	postupoval	VERB	5	ccomp
22	v	ADP	24	case
23	dobré	ADJ	24	amod
24	víře	NOUN	21	obl
25	.	PUNCT	5	punct