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:
Pes je pro střežení objektů a pochůzky mnohem výhodnější než člověk, je levnější, působí na psychiku kolemjdoucích a případného pachatele snadno dohoní, řekl LN ředitel firmy Josef Povrazník.
Postion	Tokenization
1	Pes
2	je
3	pro
4	střežení
5	objektů
6	a
7	pochůzky
8	mnohem
9	výhodnější
10	než
11	člověk
12	,
13	je
14	levnější
15	,
16	působí
17	na
18	psychiku
19	kolemjdoucích
20	a
21	případného
22	pachatele
23	snadno
24	dohoní
25	,
26	řekl
27	LN
28	ředitel
29	firmy
30	Josef
31	Povrazník
32	.
Position	Tokenization	UPOS	Head	Deprel
1	Pes	NOUN	9	nsubj
2	je	AUX	9	cop
3	pro	ADP	4	case
4	střežení	NOUN	9	obl
5	objektů	NOUN	4	nmod
6	a	CCONJ	7	cc
7	pochůzky	NOUN	4	conj
8	mnohem	ADV	9	advmod
9	výhodnější	ADJ	26	ccomp
10	než	SCONJ	11	mark
11	člověk	NOUN	9	advcl
12	,	PUNCT	14	punct
13	je	AUX	14	cop
14	levnější	ADJ	9	conj
15	,	PUNCT	16	punct
16	působí	VERB	9	conj
17	na	ADP	18	case
18	psychiku	NOUN	16	obl:arg
19	kolemjdoucích	ADJ	18	dep
20	a	CCONJ	24	cc
21	případného	ADJ	22	amod
22	pachatele	NOUN	24	obj
23	snadno	ADV	24	advmod
24	dohoní	VERB	9	conj
25	,	PUNCT	9	punct
26	řekl	VERB	0	root
27	LN	PROPN	26	iobj
28	ředitel	NOUN	26	nsubj
29	firmy	NOUN	28	nmod
30	Josef	PROPN	28	flat
31	Povrazník	PROPN	28	flat
32	.	PUNCT	26	punct