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:
Může tu ovšem hrát roli i neochota či neschopnost vzdát se dlouhodobě zaběhlých pracovních stereotypů, nebo i neznalost celé šíře problému.
Postion	Tokenization
1	Může
2	tu
3	ovšem
4	hrát
5	roli
6	i
7	neochota
8	či
9	neschopnost
10	vzdát
11	se
12	dlouhodobě
13	zaběhlých
14	pracovních
15	stereotypů
16	,
17	nebo
18	i
19	neznalost
20	celé
21	šíře
22	problému
23	.
Position	Tokenization	UPOS	Head	Deprel
1	Může	VERB	0	root
2	tu	ADV	1	advmod
3	ovšem	CCONJ	1	cc
4	hrát	VERB	1	xcomp
5	roli	NOUN	4	obj
6	i	CCONJ	7	advmod:emph
7	neochota	NOUN	1	nsubj
8	či	CCONJ	9	cc
9	neschopnost	NOUN	7	conj
10	vzdát	VERB	7	acl
11	se	PRON	10	expl:pv
12	dlouhodobě	ADV	10	advmod
13	zaběhlých	ADJ	15	amod
14	pracovních	ADJ	15	amod
15	stereotypů	NOUN	10	obl:arg
16	,	PUNCT	19	punct
17	nebo	CCONJ	19	cc
18	i	CCONJ	19	advmod:emph
19	neznalost	NOUN	7	conj
20	celé	ADJ	21	amod
21	šíře	NOUN	19	nmod
22	problému	NOUN	21	nmod
23	.	PUNCT	1	punct