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: "Holandská dražba nebyla dobrá, ale jinak všechny privatizační projekty v Karlových Varech, u nichž jsem nařčen z prosazování svých zájmů nebo zájmů svých známých - Moser nebo Karlovarský porcelán, odpovídají i těm přísnějším měřítkům současné vlády," tvrdí náměstek Soukup.
Position	Tokenization	UPOS	Head	Deprel
1	"	PUNCT	5	punct
2	Holandská	ADJ	3	amod
3	dražba	NOUN	5	nsubj
4	nebyla	AUX	5	cop
5	dobrá	ADJ	43	ccomp
6	,	PUNCT	34	punct
7	ale	CCONJ	34	cc
8	jinak	ADV	34	advmod
9	všechny	DET	11	det
10	privatizační	ADJ	11	amod
11	projekty	NOUN	34	nsubj
12	v	ADP	14	case
13	Karlových	ADJ	14	amod
14	Varech	PROPN	11	nmod
15	,	PUNCT	19	punct
16	u	ADP	17	case
17	nichž	PRON	19	obl
18	jsem	AUX	19	aux:pass
19	nařčen	ADJ	11	amod
20	z	ADP	21	case
21	prosazování	NOUN	19	obl:arg
22	svých	DET	23	det
23	zájmů	NOUN	21	nmod
24	nebo	CCONJ	25	cc
25	zájmů	NOUN	23	conj
26	svých	DET	27	det
27	známých	NOUN	25	nmod
28	-	PUNCT	29	punct
29	Moser	PROPN	27	appos
30	nebo	CCONJ	32	cc
31	Karlovarský	ADJ	32	amod
32	porcelán	NOUN	29	conj
33	,	PUNCT	19	punct
34	odpovídají	VERB	5	conj
35	i	CCONJ	38	advmod:emph
36	těm	DET	38	det
37	přísnějším	ADJ	38	amod
38	měřítkům	NOUN	34	obl:arg
39	současné	ADJ	40	amod
40	vlády	NOUN	38	nmod
41	,	PUNCT	5	punct
42	"	PUNCT	5	punct
43	tvrdí	VERB	0	root
44	náměstek	NOUN	43	nsubj
45	Soukup	PROPN	44	flat
46	.	PUNCT	43	punct