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:
Přehled zároveň ukazuje, že v zemích se soukromým vlastnictvím telefonních služeb je tendence k nízkým cenám, zatímco tam, kde vlastní telefonní společnosti stát, jsou ceny mnohem vyšší.
Postion	Tokenization
1	Přehled
2	zároveň
3	ukazuje
4	,
5	že
6	v
7	zemích
8	se
9	soukromým
10	vlastnictvím
11	telefonních
12	služeb
13	je
14	tendence
15	k
16	nízkým
17	cenám
18	,
19	zatímco
20	tam
21	,
22	kde
23	vlastní
24	telefonní
25	společnosti
26	stát
27	,
28	jsou
29	ceny
30	mnohem
31	vyšší
32	.
Position	Tokenization	UPOS	Head	Deprel
1	Přehled	NOUN	3	nsubj
2	zároveň	ADV	3	advmod
3	ukazuje	VERB	0	root
4	,	PUNCT	13	punct
5	že	SCONJ	13	mark
6	v	ADP	7	case
7	zemích	NOUN	13	obl
8	se	ADP	10	case
9	soukromým	ADJ	10	amod
10	vlastnictvím	NOUN	7	nmod
11	telefonních	ADJ	12	amod
12	služeb	NOUN	10	nmod
13	je	VERB	3	ccomp
14	tendence	NOUN	13	nsubj
15	k	ADP	17	case
16	nízkým	ADJ	17	amod
17	cenám	NOUN	14	nmod
18	,	PUNCT	31	punct
19	zatímco	SCONJ	31	mark
20	tam	ADV	31	advmod
21	,	PUNCT	23	punct
22	kde	ADV	23	advmod
23	vlastní	VERB	31	advcl
24	telefonní	ADJ	25	amod
25	společnosti	NOUN	23	obj
26	stát	NOUN	23	nsubj
27	,	PUNCT	23	punct
28	jsou	AUX	31	cop
29	ceny	NOUN	31	nsubj
30	mnohem	ADV	31	advmod
31	vyšší	ADJ	13	advcl
32	.	PUNCT	3	punct