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 text: Podle výsledku vyšetřování měl bývalý primář nejméně v osmi případech v minulém roce vykonat za úplatu interrupce u osmi polských občanek, které do Českého Těšína dopravili polští zprostředkovatelé, z nichž dva Policie ČR rovněž trestně stíhá.
Position	Tokenization	UPOS	Head	Deprel
1	Podle	ADP	2	case
2	výsledku	NOUN	4	obl
3	vyšetřování	NOUN	2	nmod
4	měl	VERB	0	root
5	bývalý	ADJ	6	amod
6	primář	NOUN	4	nsubj
7	nejméně	ADV	10	advmod:emph
8	v	ADP	10	case
9	osmi	NUM	10	nummod
10	případech	NOUN	4	obl
11	v	ADP	13	case
12	minulém	ADJ	13	amod
13	roce	NOUN	4	obl
14	vykonat	VERB	4	xcomp
15	za	ADP	16	case
16	úplatu	NOUN	14	obl
17	interrupce	NOUN	14	obj
18	u	ADP	21	case
19	osmi	NUM	21	nummod
20	polských	ADJ	21	amod
21	občanek	NOUN	17	nmod
22	,	PUNCT	27	punct
23	které	DET	27	obj
24	do	ADP	26	case
25	Českého	ADJ	26	amod
26	Těšína	PROPN	27	obl
27	dopravili	VERB	21	acl:relcl
28	polští	ADJ	29	amod
29	zprostředkovatelé	NOUN	27	nsubj
30	,	PUNCT	38	punct
31	z	ADP	32	case
32	nichž	PRON	33	nmod
33	dva	NUM	38	obj
34	Policie	NOUN	38	nsubj
35	ČR	PROPN	34	nmod
36	rovněž	ADV	38	advmod
37	trestně	ADV	38	advmod
38	stíhá	VERB	29	acl:relcl
39	.	PUNCT	4	punct