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:
Ministerstvo vnitra ČR udělilo státní občanství Walderodemu na základě zákona z roku 1969, "protože byl po válce československým státním občanem a měl poválečné osvědčení o národní spolehlivosti".
Postion	Tokenization
1	Ministerstvo
2	vnitra
3	ČR
4	udělilo
5	státní
6	občanství
7	Walderodemu
8	na
9	základě
10	zákona
11	z
12	roku
13	1969
14	,
15	"
16	protože
17	byl
18	po
19	válce
20	československým
21	státním
22	občanem
23	a
24	měl
25	poválečné
26	osvědčení
27	o
28	národní
29	spolehlivosti
30	"
31	.
Position	Tokenization	UPOS	Head	Deprel
1	Ministerstvo	NOUN	4	nsubj
2	vnitra	NOUN	1	nmod
3	ČR	PROPN	2	nmod
4	udělilo	VERB	0	root
5	státní	ADJ	6	amod
6	občanství	NOUN	4	obj
7	Walderodemu	PROPN	4	obl:arg
8	na	ADP	10	case
9	základě	NOUN	8	fixed
10	zákona	NOUN	4	obl
11	z	ADP	12	case
12	roku	NOUN	10	nmod
13	1969	NUM	12	nummod
14	,	PUNCT	22	punct
15	"	PUNCT	22	punct
16	protože	SCONJ	22	mark
17	byl	AUX	22	cop
18	po	ADP	19	case
19	válce	NOUN	22	obl
20	československým	ADJ	22	amod
21	státním	ADJ	22	amod
22	občanem	NOUN	4	advcl
23	a	CCONJ	24	cc
24	měl	VERB	22	conj
25	poválečné	ADJ	26	amod
26	osvědčení	NOUN	24	obj
27	o	ADP	29	case
28	národní	ADJ	29	amod
29	spolehlivosti	NOUN	26	nmod
30	"	PUNCT	22	punct
31	.	PUNCT	4	punct