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:
U vchodu do jedné z drogerií na liberecké Třídě 1. máje je výrazné upozornění, že při nákupu zubní pasty určité značky získá zákazník bezplatně navíc zubní kartáček.
Postion	Tokenization
1	U
2	vchodu
3	do
4	jedné
5	z
6	drogerií
7	na
8	liberecké
9	Třídě
10	1
11	.
12	máje
13	je
14	výrazné
15	upozornění
16	,
17	že
18	při
19	nákupu
20	zubní
21	pasty
22	určité
23	značky
24	získá
25	zákazník
26	bezplatně
27	navíc
28	zubní
29	kartáček
30	.
Position	Tokenization	UPOS	Head	Deprel
1	U	ADP	2	case
2	vchodu	NOUN	13	obl
3	do	ADP	4	case
4	jedné	NUM	2	nummod
5	z	ADP	6	case
6	drogerií	NOUN	4	nmod
7	na	ADP	9	case
8	liberecké	ADJ	9	amod
9	Třídě	NOUN	6	nmod
10	1	NUM	12	nummod
11	.	PUNCT	10	punct
12	máje	NOUN	9	nmod
13	je	VERB	0	root
14	výrazné	ADJ	15	amod
15	upozornění	NOUN	13	nsubj
16	,	PUNCT	24	punct
17	že	SCONJ	24	mark
18	při	ADP	19	case
19	nákupu	NOUN	24	obl
20	zubní	ADJ	21	amod
21	pasty	NOUN	19	nmod
22	určité	ADJ	23	amod
23	značky	NOUN	21	nmod
24	získá	VERB	15	acl
25	zákazník	NOUN	24	nsubj
26	bezplatně	ADV	24	advmod
27	navíc	ADV	24	advmod
28	zubní	ADJ	29	amod
29	kartáček	NOUN	24	obj
30	.	PUNCT	13	punct