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:
Důvodem je, že transevropský provoz soustředěný na novou trasu E55 by díky její nevhodné poloze byl zaveden do obytných částí Drážďan, rekreačního území jihovýchodního Saska a nejcennější části Krušných hor.
Postion	Tokenization
1	Důvodem
2	je
3	,
4	že
5	transevropský
6	provoz
7	soustředěný
8	na
9	novou
10	trasu
11	E
12	55
13	by
14	díky
15	její
16	nevhodné
17	poloze
18	byl
19	zaveden
20	do
21	obytných
22	částí
23	Drážďan
24	,
25	rekreačního
26	území
27	jihovýchodního
28	Saska
29	a
30	nejcennější
31	části
32	Krušných
33	hor
34	.
Position	Tokenization	UPOS	Head	Deprel
1	Důvodem	NOUN	0	root
2	je	AUX	1	cop
3	,	PUNCT	19	punct
4	že	SCONJ	19	mark
5	transevropský	ADJ	6	amod
6	provoz	NOUN	19	nsubj:pass
7	soustředěný	ADJ	6	amod
8	na	ADP	10	case
9	novou	ADJ	10	amod
10	trasu	NOUN	7	obl
11	E	NOUN	10	nmod
12	55	NUM	11	nummod
13	by	AUX	19	aux
14	díky	ADP	17	case
15	její	DET	17	det
16	nevhodné	ADJ	17	amod
17	poloze	NOUN	19	obl
18	byl	AUX	19	aux:pass
19	zaveden	ADJ	1	nsubj
20	do	ADP	22	case
21	obytných	ADJ	22	amod
22	částí	NOUN	19	obl
23	Drážďan	PROPN	22	nmod
24	,	PUNCT	26	punct
25	rekreačního	ADJ	26	amod
26	území	NOUN	22	conj
27	jihovýchodního	ADJ	28	amod
28	Saska	PROPN	26	nmod
29	a	CCONJ	31	cc
30	nejcennější	ADJ	31	amod
31	části	NOUN	22	conj
32	Krušných	ADJ	33	amod
33	hor	NOUN	31	nmod
34	.	PUNCT	1	punct