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:
Jak nás informoval ředitel velitelství Pohraniční policie v Teplicích pplk. Jiří Křenek, v úterý došlo v oblasti Löbau k přepadení dvou německých policejních stanic.
Postion	Tokenization
1	Jak
2	nás
3	informoval
4	ředitel
5	velitelství
6	Pohraniční
7	policie
8	v
9	Teplicích
10	pplk
11	.
12	Jiří
13	Křenek
14	,
15	v
16	úterý
17	došlo
18	v
19	oblasti
20	Löbau
21	k
22	přepadení
23	dvou
24	německých
25	policejních
26	stanic
27	.
Position	Tokenization	UPOS	Head	Deprel
1	Jak	ADV	3	mark
2	nás	PRON	3	obj
3	informoval	VERB	17	advcl
4	ředitel	NOUN	10	nmod
5	velitelství	NOUN	4	nmod
6	Pohraniční	ADJ	7	amod
7	policie	NOUN	5	nmod
8	v	ADP	9	case
9	Teplicích	PROPN	7	nmod
10	pplk	NOUN	12	nmod
11	.	PUNCT	10	punct
12	Jiří	PROPN	3	nsubj
13	Křenek	PROPN	12	flat
14	,	PUNCT	12	punct
15	v	ADP	16	case
16	úterý	NOUN	17	obl
17	došlo	VERB	0	root
18	v	ADP	19	case
19	oblasti	NOUN	17	obl
20	Löbau	PROPN	19	nmod
21	k	ADP	22	case
22	přepadení	NOUN	17	obl:arg
23	dvou	NUM	26	nummod
24	německých	ADJ	26	amod
25	policejních	ADJ	26	amod
26	stanic	NOUN	22	nmod
27	.	PUNCT	17	punct