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 text: Podle ministra vnitra Ladislava Pittnera budou moci příslušníci menšin psát svá křestní jména a příjmení tak, jak je to obvyklé v jejich mateřském jazyku, například ženská příjmení bez přechylování s koncovkou -ová.
Position	Tokenization	UPOS	Head	Deprel
1	Podle	ADP	2	case
2	ministra	NOUN	7	obl
3	vnitra	NOUN	2	nmod
4	Ladislava	PROPN	2	flat
5	Pittnera	PROPN	2	flat
6	budou	AUX	7	aux
7	moci	VERB	0	root
8	příslušníci	NOUN	7	nsubj
9	menšin	NOUN	8	nmod
10	psát	VERB	7	xcomp
11	svá	DET	13	det
12	křestní	ADJ	13	amod
13	jména	NOUN	10	obj
14	a	CCONJ	15	cc
15	příjmení	NOUN	13	conj
16	tak	ADV	10	advmod
17	,	PUNCT	21	punct
18	jak	SCONJ	21	mark
19	je	AUX	21	cop
20	to	DET	21	nsubj
21	obvyklé	ADJ	10	advcl
22	v	ADP	25	case
23	jejich	DET	25	det
24	mateřském	ADJ	25	amod
25	jazyku	NOUN	21	obl
26	,	PUNCT	29	punct
27	například	ADV	29	cc
28	ženská	ADJ	29	amod
29	příjmení	NOUN	10	appos
30	bez	ADP	31	case
31	přechylování	NOUN	10	appos
32	s	ADP	33	case
33	koncovkou	NOUN	10	appos
34	-	PUNCT	35	punct
35	ová	NOUN	33	nmod
36	.	PUNCT	7	punct