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: Sám Senna si šel místo havárie obhlédnout a v německém nedělníku Welt am Sonntag se rozpovídal nad bezpečností okruhů - prý má v Imole na hrubé trati s táhlými zatáčkami problémy s ovládáním svého vozu.
Position	Tokenization	UPOS	Head	Deprel
1	Sám	DET	2	xcomp
2	Senna	PROPN	4	nsubj
3	si	PRON	7	discourse
4	šel	VERB	0	root
5	místo	NOUN	7	obj
6	havárie	NOUN	5	nmod
7	obhlédnout	VERB	4	advcl
8	a	CCONJ	16	cc
9	v	ADP	11	case
10	německém	ADJ	11	amod
11	nedělníku	NOUN	16	obl
12	Welt	PROPN	11	nmod
13	am	ADP	14	case
14	Sonntag	PROPN	12	flat:foreign
15	se	PRON	16	expl:pv
16	rozpovídal	VERB	4	conj
17	nad	ADP	18	case
18	bezpečností	NOUN	16	obl
19	okruhů	NOUN	18	nmod
20	-	PUNCT	22	punct
21	prý	PART	22	advmod
22	má	VERB	16	parataxis
23	v	ADP	24	case
24	Imole	PROPN	22	obl
25	na	ADP	27	case
26	hrubé	ADJ	27	amod
27	trati	NOUN	22	obl
28	s	ADP	30	case
29	táhlými	ADJ	30	amod
30	zatáčkami	NOUN	27	nmod
31	problémy	NOUN	22	obj
32	s	ADP	33	case
33	ovládáním	NOUN	31	nmod
34	svého	DET	35	det
35	vozu	NOUN	33	nmod
36	.	PUNCT	4	punct