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: Pavla Šruta podle vlastních slov zaujaly americké pohádky hlavně tím, že v nich nešustí krajkoví, bledí princové se netoulají po zámeckých chodbách, ale zato je v nich mnohem víc legrace, lhaní i taškařic.
Position	Tokenization	UPOS	Head	Deprel
1	Pavla	PROPN	6	obj
2	Šruta	PROPN	1	flat
3	podle	ADP	5	case
4	vlastních	ADJ	5	amod
5	slov	NOUN	6	obl
6	zaujaly	VERB	0	root
7	americké	ADJ	8	amod
8	pohádky	NOUN	6	nsubj
9	hlavně	ADV	10	advmod:emph
10	tím	DET	6	obl
11	,	PUNCT	15	punct
12	že	SCONJ	15	mark
13	v	ADP	14	case
14	nich	PRON	15	obl
15	nešustí	VERB	10	acl
16	krajkoví	NOUN	15	nsubj
17	,	PUNCT	21	punct
18	bledí	ADJ	19	amod
19	princové	NOUN	21	nsubj
20	se	PRON	21	expl:pv
21	netoulají	VERB	15	conj
22	po	ADP	24	case
23	zámeckých	ADJ	24	amod
24	chodbách	NOUN	21	obl
25	,	PUNCT	28	punct
26	ale	CCONJ	28	cc
27	zato	ADV	28	cc
28	je	VERB	15	conj
29	v	ADP	30	case
30	nich	PRON	28	obl
31	mnohem	ADV	32	advmod
32	víc	ADV	28	nsubj
33	legrace	NOUN	32	nmod
34	,	PUNCT	35	punct
35	lhaní	NOUN	33	conj
36	i	CCONJ	37	cc
37	taškařic	NOUN	33	conj
38	.	PUNCT	6	punct