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: "Čtrnáct let jsem neměl nehodu a málem jsem se považoval za neomylného řidiče," povzdechl si při našem povídání Andrej Barčák, polistopadový ministr zahraničního obchodu a v současnosti zástupce značky Opel pro země střední a východní Evropy.
Position	Tokenization	UPOS	Head	Deprel
1	"	PUNCT	5	punct
2	Čtrnáct	NUM	3	nummod:gov
3	let	NOUN	5	obl
4	jsem	AUX	5	aux
5	neměl	VERB	17	ccomp
6	nehodu	NOUN	5	obj
7	a	CCONJ	11	cc
8	málem	ADV	11	advmod
9	jsem	AUX	11	aux
10	se	PRON	11	obj
11	považoval	VERB	5	conj
12	za	ADP	14	case
13	neomylného	ADJ	14	amod
14	řidiče	NOUN	11	obl:arg
15	,	PUNCT	5	punct
16	"	PUNCT	5	punct
17	povzdechl	VERB	0	root
18	si	PRON	17	expl:pv
19	při	ADP	21	case
20	našem	DET	21	det
21	povídání	NOUN	17	obl
22	Andrej	PROPN	17	nsubj
23	Barčák	PROPN	22	flat
24	,	PUNCT	26	punct
25	polistopadový	ADJ	26	amod
26	ministr	NOUN	22	appos
27	zahraničního	ADJ	28	amod
28	obchodu	NOUN	26	nmod
29	a	CCONJ	32	cc
30	v	ADP	31	case
31	současnosti	NOUN	32	nmod
32	zástupce	NOUN	26	conj
33	značky	NOUN	32	nmod
34	Opel	PROPN	33	nmod
35	pro	ADP	36	case
36	země	NOUN	32	nmod
37	střední	ADJ	40	amod
38	a	CCONJ	39	cc
39	východní	ADJ	37	conj
40	Evropy	PROPN	36	nmod
41	.	PUNCT	17	punct