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:
Protože víme o okruhu svých zákazníků a jejich koupěschopnosti, snažíme se mít i nízké ceny, třeba i proto, že prodáváme zboží v druhé jakosti.
Postion	Tokenization
1	Protože
2	víme
3	o
4	okruhu
5	svých
6	zákazníků
7	a
8	jejich
9	koupěschopnosti
10	,
11	snažíme
12	se
13	mít
14	i
15	nízké
16	ceny
17	,
18	třeba
19	i
20	proto
21	,
22	že
23	prodáváme
24	zboží
25	v
26	druhé
27	jakosti
28	.
Position	Tokenization	UPOS	Head	Deprel
1	Protože	SCONJ	2	mark
2	víme	VERB	11	advcl
3	o	ADP	4	case
4	okruhu	NOUN	2	obl:arg
5	svých	DET	6	det
6	zákazníků	NOUN	4	nmod
7	a	CCONJ	9	cc
8	jejich	DET	9	det
9	koupěschopnosti	NOUN	4	conj
10	,	PUNCT	2	punct
11	snažíme	VERB	0	root
12	se	PRON	11	expl:pv
13	mít	VERB	11	xcomp
14	i	CCONJ	16	advmod:emph
15	nízké	ADJ	16	amod
16	ceny	NOUN	13	obj
17	,	PUNCT	20	punct
18	třeba	ADV	20	advmod:emph
19	i	CCONJ	20	advmod:emph
20	proto	ADV	13	advmod
21	,	PUNCT	23	punct
22	že	SCONJ	23	mark
23	prodáváme	VERB	13	advcl
24	zboží	NOUN	23	obj
25	v	ADP	27	case
26	druhé	ADJ	27	amod
27	jakosti	NOUN	23	obl
28	.	PUNCT	11	punct