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:
I když naléhavost přeložení stávající trasy E55 do nové polohy stále vzrůstá, investor resortu dopravy nadále připravuje zdlouhavou výstavbu dálnice D8 vedenou mj. přes chráněnou krajinnou oblast České středohoří.
Postion	Tokenization
1	I
2	když
3	naléhavost
4	přeložení
5	stávající
6	trasy
7	E
8	55
9	do
10	nové
11	polohy
12	stále
13	vzrůstá
14	,
15	investor
16	resortu
17	dopravy
18	nadále
19	připravuje
20	zdlouhavou
21	výstavbu
22	dálnice
23	D
24	8
25	vedenou
26	mj
27	.
28	přes
29	chráněnou
30	krajinnou
31	oblast
32	České
33	středohoří
34	.
Position	Tokenization	UPOS	Head	Deprel
1	I	CCONJ	13	mark
2	když	SCONJ	1	fixed
3	naléhavost	NOUN	13	nsubj
4	přeložení	NOUN	3	nmod
5	stávající	ADJ	6	amod
6	trasy	NOUN	4	nmod
7	E	NOUN	6	nmod
8	55	NUM	7	nummod
9	do	ADP	11	case
10	nové	ADJ	11	amod
11	polohy	NOUN	4	nmod
12	stále	ADV	13	advmod
13	vzrůstá	VERB	19	advcl
14	,	PUNCT	13	punct
15	investor	NOUN	19	nsubj
16	resortu	NOUN	15	nmod
17	dopravy	NOUN	16	nmod
18	nadále	ADV	19	advmod
19	připravuje	VERB	0	root
20	zdlouhavou	ADJ	21	amod
21	výstavbu	NOUN	19	obj
22	dálnice	NOUN	21	nmod
23	D	NOUN	22	nmod
24	8	NUM	23	nummod
25	vedenou	ADJ	21	amod
26	mj	ADV	25	advmod
27	.	PUNCT	26	punct
28	přes	ADP	31	case
29	chráněnou	ADJ	31	amod
30	krajinnou	ADJ	31	amod
31	oblast	NOUN	25	obl
32	České	ADJ	33	amod
33	středohoří	NOUN	31	nmod
34	.	PUNCT	19	punct