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:
Škody způsobené atentáty v Ulsteru stály Brity už 600 milionů liber, jen v loňském roce bylo na zvýšení bezpečnosti policejních stanic vynaloženo 38 milionů liber.
Postion	Tokenization
1	Škody
2	způsobené
3	atentáty
4	v
5	Ulsteru
6	stály
7	Brity
8	už
9	600
10	milionů
11	liber
12	,
13	jen
14	v
15	loňském
16	roce
17	bylo
18	na
19	zvýšení
20	bezpečnosti
21	policejních
22	stanic
23	vynaloženo
24	38
25	milionů
26	liber
27	.
Position	Tokenization	UPOS	Head	Deprel
1	Škody	NOUN	6	nsubj
2	způsobené	ADJ	1	amod
3	atentáty	NOUN	2	obl:arg
4	v	ADP	5	case
5	Ulsteru	PROPN	3	nmod
6	stály	VERB	0	root
7	Brity	PROPN	6	obj
8	už	ADV	9	advmod:emph
9	600	NUM	10	nummod:gov
10	milionů	NOUN	6	iobj
11	liber	NOUN	10	nmod
12	,	PUNCT	23	punct
13	jen	PART	16	advmod:emph
14	v	ADP	16	case
15	loňském	ADJ	16	amod
16	roce	NOUN	23	obl
17	bylo	AUX	23	aux:pass
18	na	ADP	19	case
19	zvýšení	NOUN	23	obl
20	bezpečnosti	NOUN	19	nmod
21	policejních	ADJ	22	amod
22	stanic	NOUN	20	nmod
23	vynaloženo	ADJ	6	conj
24	38	NUM	25	nummod:gov
25	milionů	NOUN	23	nsubj:pass
26	liber	NOUN	25	nmod
27	.	PUNCT	6	punct