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 text: Dálniční propojení Lovosice-Drážďany by zavedlo nové vysoké objemy dopravy do míst, kde hodnoty znečištění ovzduší oxidy dusíku a prašným aerosolem patří již dnes k nejvyšším z celé severočeské oblasti, na návětrnou stranu největšího města oblasti, Ústí n. L.
Position	Tokenization	UPOS	Head	Deprel
1	Dálniční	ADJ	2	amod
2	propojení	NOUN	7	nsubj
3	Lovosice	PROPN	2	nmod
4	-	PUNCT	5	punct
5	Drážďany	PROPN	3	conj
6	by	AUX	7	aux
7	zavedlo	VERB	0	root
8	nové	ADJ	10	amod
9	vysoké	ADJ	10	amod
10	objemy	NOUN	7	obj
11	dopravy	NOUN	10	nmod
12	do	ADP	13	case
13	míst	NOUN	7	obl
14	,	PUNCT	24	punct
15	kde	ADV	24	advmod
16	hodnoty	NOUN	24	nsubj
17	znečištění	NOUN	16	nmod
18	ovzduší	NOUN	17	nmod
19	oxidy	NOUN	17	nmod
20	dusíku	NOUN	19	nmod
21	a	CCONJ	23	cc
22	prašným	ADJ	23	amod
23	aerosolem	NOUN	19	conj
24	patří	VERB	13	acl:relcl
25	již	ADV	26	advmod:emph
26	dnes	ADV	24	advmod
27	k	ADP	28	case
28	nejvyšším	ADJ	24	obl:arg
29	z	ADP	32	case
30	celé	ADJ	32	amod
31	severočeské	ADJ	32	amod
32	oblasti	NOUN	28	obl
33	,	PUNCT	36	punct
34	na	ADP	36	case
35	návětrnou	ADJ	36	amod
36	stranu	NOUN	13	appos
37	největšího	ADJ	38	amod
38	města	NOUN	36	nmod
39	oblasti	NOUN	38	nmod
40	,	PUNCT	41	punct
41	Ústí	PROPN	38	appos
42	n	ADP	44	case
43	.	PUNCT	44	punct
44	L	PROPN	41	nmod
45	.	PUNCT	7	punct