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 tokenized text:
Město Goražde ve východní Bosně se stalo "skutečným ghettem", kde je třeba v létě očekávat vážné zdravotní problémy vzhledem k tomu, že jediná čistička vody byla zničena.
Postion	Tokenization
1	Město
2	Goražde
3	ve
4	východní
5	Bosně
6	se
7	stalo
8	"
9	skutečným
10	ghettem
11	"
12	,
13	kde
14	je
15	třeba
16	v
17	létě
18	očekávat
19	vážné
20	zdravotní
21	problémy
22	vzhledem
23	k
24	tomu
25	,
26	že
27	jediná
28	čistička
29	vody
30	byla
31	zničena
32	.
Position	Tokenization	UPOS	Head	Deprel
1	Město	NOUN	7	nsubj
2	Goražde	PROPN	1	nmod
3	ve	ADP	5	case
4	východní	ADJ	5	amod
5	Bosně	PROPN	1	nmod
6	se	PRON	7	expl:pv
7	stalo	VERB	0	root
8	"	PUNCT	10	punct
9	skutečným	ADJ	10	amod
10	ghettem	NOUN	7	obl:arg
11	"	PUNCT	10	punct
12	,	PUNCT	15	punct
13	kde	ADV	18	advmod
14	je	AUX	15	cop
15	třeba	ADJ	10	acl:relcl
16	v	ADP	17	case
17	létě	NOUN	18	obl
18	očekávat	VERB	15	csubj
19	vážné	ADJ	21	amod
20	zdravotní	ADJ	21	amod
21	problémy	NOUN	18	obj
22	vzhledem	ADP	24	case
23	k	ADP	22	fixed
24	tomu	DET	18	obl
25	,	PUNCT	31	punct
26	že	SCONJ	31	mark
27	jediná	ADJ	28	amod
28	čistička	NOUN	31	nsubj:pass
29	vody	NOUN	28	nmod
30	byla	AUX	31	aux:pass
31	zničena	ADJ	24	amod
32	.	PUNCT	7	punct