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:
Výsledkem byl rozpočtový schodek, který loni dosáhl výše 13.1 % HDP, což je nejvíce v Evropě a dvojnásobek schodku, kterého dosahovaly předchozí švédské socialistické vlády.
Postion	Tokenization
1	Výsledkem
2	byl
3	rozpočtový
4	schodek
5	,
6	který
7	loni
8	dosáhl
9	výše
10	13.1
11	%
12	HDP
13	,
14	což
15	je
16	nejvíce
17	v
18	Evropě
19	a
20	dvojnásobek
21	schodku
22	,
23	kterého
24	dosahovaly
25	předchozí
26	švédské
27	socialistické
28	vlády
29	.
Position	Tokenization	UPOS	Head	Deprel
1	Výsledkem	NOUN	0	root
2	byl	AUX	1	cop
3	rozpočtový	ADJ	4	amod
4	schodek	NOUN	1	nsubj
5	,	PUNCT	8	punct
6	který	DET	8	nsubj
7	loni	ADV	8	advmod
8	dosáhl	VERB	4	acl:relcl
9	výše	NOUN	8	obl:arg
10	13.1	NUM	9	nummod
11	%	SYM	10	nmod
12	HDP	NOUN	11	nmod
13	,	PUNCT	15	punct
14	což	PRON	15	nsubj
15	je	VERB	8	conj
16	nejvíce	ADV	15	advmod
17	v	ADP	18	case
18	Evropě	PROPN	16	obl
19	a	CCONJ	20	cc
20	dvojnásobek	NOUN	15	conj
21	schodku	NOUN	20	nmod
22	,	PUNCT	24	punct
23	kterého	DET	24	obl:arg
24	dosahovaly	VERB	20	acl:relcl
25	předchozí	ADJ	28	amod
26	švédské	ADJ	28	amod
27	socialistické	ADJ	28	amod
28	vlády	NOUN	24	nsubj
29	.	PUNCT	1	punct