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: Jak nám řekl náčelník Sboru požární ochrany v Brně Rudolf Valášek, tank pro ně není dost spolehlivý a účelný: "Neumím si představit, že bychom jej v případě požáru hnali ulicemi města."
Position	Tokenization	UPOS	Head	Deprel
1	Jak	ADV	3	advmod
2	nám	PRON	3	obl:arg
3	řekl	VERB	18	parataxis
4	náčelník	NOUN	3	nsubj
5	Sboru	NOUN	4	nmod
6	požární	ADJ	7	amod
7	ochrany	NOUN	5	nmod
8	v	ADP	9	case
9	Brně	PROPN	5	nmod
10	Rudolf	PROPN	4	flat
11	Valášek	PROPN	4	flat
12	,	PUNCT	3	punct
13	tank	NOUN	18	nsubj
14	pro	ADP	15	case
15	ně	PRON	18	obl
16	není	AUX	18	cop
17	dost	ADV	18	advmod
18	spolehlivý	ADJ	0	root
19	a	CCONJ	20	cc
20	účelný	ADJ	18	conj
21	:	PUNCT	23	punct
22	"	PUNCT	23	punct
23	Neumím	VERB	18	conj
24	si	PRON	25	expl:pv
25	představit	VERB	23	xcomp
26	,	PUNCT	33	punct
27	že	SCONJ	33	mark
28	bychom	AUX	33	aux
29	jej	PRON	33	obj
30	v	ADP	32	case
31	případě	NOUN	30	fixed
32	požáru	NOUN	33	obl
33	hnali	VERB	25	ccomp
34	ulicemi	NOUN	33	obl
35	města	NOUN	34	nmod
36	.	PUNCT	18	punct
37	"	PUNCT	18	punct