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:
O Chalupovi mne informoval bývalý náměstek ministra národní bezpečnosti Jindřich Veselý, který mi de facto předával záležitosti Státní bezpečnosti, jak je znal od konce války."
Postion	Tokenization
1	O
2	Chalupovi
3	mne
4	informoval
5	bývalý
6	náměstek
7	ministra
8	národní
9	bezpečnosti
10	Jindřich
11	Veselý
12	,
13	který
14	mi
15	de
16	facto
17	předával
18	záležitosti
19	Státní
20	bezpečnosti
21	,
22	jak
23	je
24	znal
25	od
26	konce
27	války
28	.
29	"
Position	Tokenization	UPOS	Head	Deprel
1	O	ADP	2	case
2	Chalupovi	PROPN	4	obl:arg
3	mne	PRON	4	obj
4	informoval	VERB	0	root
5	bývalý	ADJ	6	amod
6	náměstek	NOUN	4	nsubj
7	ministra	NOUN	6	nmod
8	národní	ADJ	9	amod
9	bezpečnosti	NOUN	7	nmod
10	Jindřich	PROPN	6	flat
11	Veselý	PROPN	6	flat
12	,	PUNCT	17	punct
13	který	DET	17	nsubj
14	mi	PRON	17	obl:arg
15	de	ADP	17	obl
16	facto	NOUN	15	flat:foreign
17	předával	VERB	6	acl:relcl
18	záležitosti	NOUN	17	obj
19	Státní	ADJ	20	amod
20	bezpečnosti	NOUN	18	nmod
21	,	PUNCT	24	punct
22	jak	ADV	24	advmod
23	je	PRON	24	obj
24	znal	VERB	18	xcomp
25	od	ADP	26	case
26	konce	NOUN	24	obl
27	války	NOUN	26	nmod
28	.	PUNCT	4	punct
29	"	PUNCT	4	punct