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:
V loňském čísle 48 informoval Profit o zkušenostech německé firmy s využíváním vizitek doplněných například obrazovými informacemi o podniku, či využívaných i jako karty zvýhodňující stálé zákazníky.
Postion	Tokenization
1	V
2	loňském
3	čísle
4	48
5	informoval
6	Profit
7	o
8	zkušenostech
9	německé
10	firmy
11	s
12	využíváním
13	vizitek
14	doplněných
15	například
16	obrazovými
17	informacemi
18	o
19	podniku
20	,
21	či
22	využívaných
23	i
24	jako
25	karty
26	zvýhodňující
27	stálé
28	zákazníky
29	.
Position	Tokenization	UPOS	Head	Deprel
1	V	ADP	3	case
2	loňském	ADJ	3	amod
3	čísle	NOUN	5	obl
4	48	NUM	3	nummod
5	informoval	VERB	0	root
6	Profit	NOUN	5	nsubj
7	o	ADP	8	case
8	zkušenostech	NOUN	5	obl:arg
9	německé	ADJ	10	amod
10	firmy	NOUN	8	nmod
11	s	ADP	12	case
12	využíváním	NOUN	8	nmod
13	vizitek	NOUN	12	nmod
14	doplněných	ADJ	13	amod
15	například	ADV	17	advmod:emph
16	obrazovými	ADJ	17	amod
17	informacemi	NOUN	14	obl:arg
18	o	ADP	19	case
19	podniku	NOUN	17	nmod
20	,	PUNCT	22	punct
21	či	CCONJ	22	cc
22	využívaných	ADJ	14	conj
23	i	CCONJ	25	advmod:emph
24	jako	SCONJ	25	mark
25	karty	NOUN	13	xcomp
26	zvýhodňující	ADJ	25	amod
27	stálé	ADJ	28	amod
28	zákazníky	NOUN	26	obj
29	.	PUNCT	5	punct