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: Nevěnování řidičské pozornosti provozu v úseku, kde je provoz na dálnici D-1 převeden do jednoho směru, mělo včera před půl devátou ráno za následek řetězový střet pěti osobních vozů na 14. kilometru.
Position	Tokenization	UPOS	Head	Deprel
1	Nevěnování	NOUN	21	nsubj
2	řidičské	ADJ	3	amod
3	pozornosti	NOUN	1	nmod
4	provozu	NOUN	1	nmod
5	v	ADP	6	case
6	úseku	NOUN	4	nmod
7	,	PUNCT	16	punct
8	kde	ADV	16	advmod
9	je	AUX	16	aux:pass
10	provoz	NOUN	16	nsubj:pass
11	na	ADP	12	case
12	dálnici	NOUN	10	nmod
13	D	NUM	12	nummod
14	-	PUNCT	15	punct
15	1	NUM	13	compound
16	převeden	ADJ	6	amod
17	do	ADP	19	case
18	jednoho	NUM	19	nummod
19	směru	NOUN	16	obl
20	,	PUNCT	16	punct
21	mělo	VERB	0	root
22	včera	ADV	21	advmod
23	před	ADP	24	case
24	půl	NUM	21	obl
25	devátou	ADJ	24	amod
26	ráno	ADV	25	advmod
27	za	ADP	28	case
28	následek	NOUN	21	obl
29	řetězový	ADJ	30	amod
30	střet	NOUN	21	obj
31	pěti	NUM	33	nummod
32	osobních	ADJ	33	amod
33	vozů	NOUN	30	nmod
34	na	ADP	37	case
35	14	NUM	37	nummod
36	.	PUNCT	35	punct
37	kilometru	NOUN	30	nmod
38	.	PUNCT	21	punct