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: Je pro ně synonymem radosti ze života, obdivu k přírodě a umění, jehož význam a důležitost jim často slouží jako důvod k veselí (například pučící Malevičův černý čtverec na bílém pozadí od Jana Merty).
Position	Tokenization	UPOS	Head	Deprel
1	Je	AUX	4	cop
2	pro	ADP	3	case
3	ně	PRON	4	obl
4	synonymem	NOUN	0	root
5	radosti	NOUN	4	nmod
6	ze	ADP	7	case
7	života	NOUN	5	nmod
8	,	PUNCT	9	punct
9	obdivu	NOUN	5	conj
10	k	ADP	11	case
11	přírodě	NOUN	9	nmod
12	a	CCONJ	13	cc
13	umění	NOUN	11	conj
14	,	PUNCT	21	punct
15	jehož	PRON	16	nmod
16	význam	NOUN	21	nsubj
17	a	CCONJ	18	cc
18	důležitost	NOUN	16	conj
19	jim	PRON	21	obl:arg
20	často	ADV	21	advmod
21	slouží	VERB	13	acl:relcl
22	jako	SCONJ	23	mark
23	důvod	NOUN	16	xcomp
24	k	ADP	25	case
25	veselí	NOUN	23	nmod
26	(	PUNCT	21	punct
27	například	ADV	31	advmod:emph
28	pučící	ADJ	31	amod
29	Malevičův	ADJ	31	amod
30	černý	ADJ	31	amod
31	čtverec	NOUN	21	dep
32	na	ADP	34	case
33	bílém	ADJ	34	amod
34	pozadí	NOUN	31	nmod
35	od	ADP	36	case
36	Jana	PROPN	31	nmod
37	Merty	PROPN	36	flat
38	)	PUNCT	21	punct
39	.	PUNCT	4	punct