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: Prozaik dokázal s chápavým pousmáním postihnout dílčí, trochu přitroublou pravdu malého českého človíčka, který svede v cizině i po naprosté blamáži najít v sobě nenadálé sebezáchovné "víry živé vody".
Position	Tokenization	UPOS	Head	Deprel
1	Prozaik	NOUN	2	nsubj
2	dokázal	VERB	0	root
3	s	ADP	5	case
4	chápavým	ADJ	5	amod
5	pousmáním	NOUN	2	obl
6	postihnout	VERB	2	xcomp
7	dílčí	ADJ	11	amod
8	,	PUNCT	10	punct
9	trochu	ADV	10	advmod
10	přitroublou	ADJ	7	conj
11	pravdu	NOUN	6	obj
12	malého	ADJ	14	amod
13	českého	ADJ	14	amod
14	človíčka	NOUN	11	nmod
15	,	PUNCT	17	punct
16	který	DET	17	nsubj
17	svede	VERB	14	acl:relcl
18	v	ADP	19	case
19	cizině	NOUN	17	obl
20	i	CCONJ	23	advmod:emph
21	po	ADP	23	case
22	naprosté	ADJ	23	amod
23	blamáži	NOUN	17	obl
24	najít	VERB	17	xcomp
25	v	ADP	26	case
26	sobě	PRON	24	obl
27	nenadálé	ADJ	30	amod
28	sebezáchovné	ADJ	30	amod
29	"	PUNCT	30	punct
30	víry	NOUN	24	obj
31	živé	ADJ	32	amod
32	vody	NOUN	30	nmod
33	"	PUNCT	30	punct
34	.	PUNCT	2	punct