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:
Překvapení zažila při první prohlídce průvodkyně doudlebského zámku E. Makaloušová, neboť z expozice zmizely čtyři tapiserie v hodnotě 2.5 milionů Kč, jež měl majitel Doudleb Adam z Bubna zapůjčeny.
Postion	Tokenization
1	Překvapení
2	zažila
3	při
4	první
5	prohlídce
6	průvodkyně
7	doudlebského
8	zámku
9	E
10	.
11	Makaloušová
12	,
13	neboť
14	z
15	expozice
16	zmizely
17	čtyři
18	tapiserie
19	v
20	hodnotě
21	2.5
22	milionů
23	Kč
24	,
25	jež
26	měl
27	majitel
28	Doudleb
29	Adam
30	z
31	Bubna
32	zapůjčeny
33	.
Position	Tokenization	UPOS	Head	Deprel
1	Překvapení	NOUN	2	obj
2	zažila	VERB	0	root
3	při	ADP	5	case
4	první	ADJ	5	amod
5	prohlídce	NOUN	2	obl
6	průvodkyně	NOUN	2	nsubj
7	doudlebského	ADJ	8	amod
8	zámku	NOUN	6	nmod
9	E	PROPN	6	flat
10	.	PUNCT	9	punct
11	Makaloušová	PROPN	6	flat
12	,	PUNCT	16	punct
13	neboť	CCONJ	16	cc
14	z	ADP	15	case
15	expozice	NOUN	16	obl
16	zmizely	VERB	2	conj
17	čtyři	NUM	18	nummod
18	tapiserie	NOUN	16	nsubj
19	v	ADP	20	case
20	hodnotě	NOUN	18	nmod
21	2.5	NUM	22	nummod
22	milionů	NOUN	20	nmod
23	Kč	NOUN	22	nmod
24	,	PUNCT	26	punct
25	jež	PRON	26	obj
26	měl	VERB	18	acl:relcl
27	majitel	NOUN	26	nsubj
28	Doudleb	PROPN	27	nmod
29	Adam	PROPN	27	flat
30	z	ADP	31	case
31	Bubna	PROPN	27	nmod
32	zapůjčeny	ADJ	25	xcomp
33	.	PUNCT	2	punct