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 tokenized text:
Analogie spočívá v tom, že problémy životního prostředí jsou v postkomunistických státech trestuhodně zanedbané a řešit je lze jen koncepční a systematickou činností.
Postion	Tokenization
1	Analogie
2	spočívá
3	v
4	tom
5	,
6	že
7	problémy
8	životního
9	prostředí
10	jsou
11	v
12	postkomunistických
13	státech
14	trestuhodně
15	zanedbané
16	a
17	řešit
18	je
19	lze
20	jen
21	koncepční
22	a
23	systematickou
24	činností
25	.
Position	Tokenization	UPOS	Head	Deprel
1	Analogie	NOUN	2	nsubj
2	spočívá	VERB	0	root
3	v	ADP	4	case
4	tom	DET	2	obl:arg
5	,	PUNCT	15	punct
6	že	SCONJ	15	mark
7	problémy	NOUN	15	nsubj
8	životního	ADJ	9	amod
9	prostředí	NOUN	7	nmod
10	jsou	AUX	15	cop
11	v	ADP	13	case
12	postkomunistických	ADJ	13	amod
13	státech	NOUN	15	obl
14	trestuhodně	ADV	15	advmod
15	zanedbané	ADJ	4	acl
16	a	CCONJ	19	cc
17	řešit	VERB	19	csubj
18	je	PRON	17	obj
19	lze	VERB	15	conj
20	jen	PART	21	advmod:emph
21	koncepční	ADJ	24	amod
22	a	CCONJ	23	cc
23	systematickou	ADJ	21	conj
24	činností	NOUN	19	obl
25	.	PUNCT	2	punct