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: Stejně jako se v Pokoušení Havel vrací k některým motivům Zahradní slavnosti (a nejen v obrazech ústavních slavností), použil Grossman zvuk odkapávající vody pro obrazy v ústavu (cituje tak vlastní režii Havlova Vyrozumění z r. 1965).
Position	Tokenization	UPOS	Head	Deprel
1	Stejně	ADV	22	advmod
2	jako	SCONJ	7	mark
3	se	PRON	7	expl:pv
4	v	ADP	5	case
5	Pokoušení	NOUN	7	obl
6	Havel	PROPN	7	nsubj
7	vrací	VERB	1	advcl
8	k	ADP	10	case
9	některým	DET	10	det
10	motivům	NOUN	7	obl
11	Zahradní	ADJ	12	amod
12	slavnosti	NOUN	10	nmod
13	(	PUNCT	17	punct
14	a	CCONJ	17	cc
15	nejen	PART	17	advmod:emph
16	v	ADP	17	case
17	obrazech	NOUN	7	obl
18	ústavních	ADJ	19	amod
19	slavností	NOUN	17	nmod
20	)	PUNCT	17	punct
21	,	PUNCT	22	punct
22	použil	VERB	0	root
23	Grossman	PROPN	22	nsubj
24	zvuk	NOUN	22	obj
25	odkapávající	ADJ	26	amod
26	vody	NOUN	24	nmod
27	pro	ADP	28	case
28	obrazy	NOUN	22	obl
29	v	ADP	30	case
30	ústavu	NOUN	28	nmod
31	(	PUNCT	32	punct
32	cituje	VERB	22	appos
33	tak	ADV	32	advmod
34	vlastní	ADJ	35	amod
35	režii	NOUN	32	obj
36	Havlova	ADJ	37	amod
37	Vyrozumění	NOUN	35	nmod
38	z	ADP	39	case
39	r	NOUN	35	nmod
40	.	PUNCT	39	punct
41	1965	NUM	39	nummod
42	)	PUNCT	32	punct
43	.	PUNCT	22	punct