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: Jak je vidět, všímá si americký recenzent těch aspektů, které českým čtenářům jedné z nejpopulárnějších Škvoreckého knih rozhodně vrásky nedělaly, ať už ji četli v bůhvíkolikátém opise či kopii, nebo v torontském paperbackovém vydání.
Position	Tokenization	UPOS	Head	Deprel
1	Jak	SCONJ	2	mark
2	je	VERB	5	parataxis
3	vidět	VERB	2	ccomp
4	,	PUNCT	2	punct
5	všímá	VERB	0	root
6	si	PRON	5	expl:pv
7	americký	ADJ	8	amod
8	recenzent	NOUN	5	nsubj
9	těch	DET	10	det
10	aspektů	NOUN	5	obl:arg
11	,	PUNCT	22	punct
12	které	DET	22	nsubj
13	českým	ADJ	14	amod
14	čtenářům	NOUN	22	obl:arg
15	jedné	NUM	14	nummod
16	z	ADP	19	case
17	nejpopulárnějších	ADJ	19	amod
18	Škvoreckého	PROPN	19	nmod
19	knih	NOUN	15	nmod
20	rozhodně	ADV	22	advmod
21	vrásky	NOUN	22	obj
22	nedělaly	VERB	10	acl:relcl
23	,	PUNCT	27	punct
24	ať	SCONJ	27	cc
25	už	ADV	24	fixed
26	ji	PRON	27	obj
27	četli	VERB	22	advcl
28	v	ADP	30	case
29	bůhvíkolikátém	NOUN	30	nmod
30	opise	NOUN	27	obl
31	či	CCONJ	32	cc
32	kopii	NOUN	30	conj
33	,	PUNCT	38	punct
34	nebo	CCONJ	38	cc
35	v	ADP	38	case
36	torontském	ADJ	38	amod
37	paperbackovém	ADJ	38	amod
38	vydání	NOUN	30	conj
39	.	PUNCT	5	punct