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:
Pracovníci Dopravního podniku se však obávají, že to bude právě pohoda prvních dnů rekonstrukce, co inspiruje Pražany, aby se přestali neuralgickému bodu vyhýbat.
Postion	Tokenization
1	Pracovníci
2	Dopravního
3	podniku
4	se
5	však
6	obávají
7	,
8	že
9	to
10	bude
11	právě
12	pohoda
13	prvních
14	dnů
15	rekonstrukce
16	,
17	co
18	inspiruje
19	Pražany
20	,
21	aby
22	aby
23	by
24	se
25	přestali
26	neuralgickému
27	bodu
28	vyhýbat
29	.
Position	Tokenization	UPOS	Head	Deprel
1	Pracovníci	NOUN	6	nsubj
2	Dopravního	ADJ	3	amod
3	podniku	NOUN	1	nmod
4	se	PRON	6	expl:pv
5	však	CCONJ	6	cc
6	obávají	VERB	0	root
7	,	PUNCT	12	punct
8	že	SCONJ	12	mark
9	to	DET	12	nsubj
10	bude	AUX	12	cop
11	právě	ADV	12	advmod:emph
12	pohoda	NOUN	6	ccomp
13	prvních	ADJ	14	amod
14	dnů	NOUN	12	nmod
15	rekonstrukce	NOUN	14	nmod
16	,	PUNCT	18	punct
17	co	PRON	18	nsubj
18	inspiruje	VERB	12	acl:relcl
19	Pražany	PROPN	18	iobj
20	,	PUNCT	24	punct
21	aby	_	None	_
22	aby	SCONJ	24	mark
23	by	AUX	24	aux
24	se	PRON	27	expl:pv
25	přestali	VERB	18	ccomp
26	neuralgickému	ADJ	26	amod
27	bodu	NOUN	27	obl:arg
28	vyhýbat	VERB	24	xcomp
29	.	PUNCT	6	punct