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:
Pomohlo k tomu snížení výrobních nákladů, nižší úrokové sazby švédských bank a posílení dolaru, který umožnil větší konkurenční schopnost švédského zboží na zahraničních trzích.
Postion	Tokenization
1	Pomohlo
2	k
3	tomu
4	snížení
5	výrobních
6	nákladů
7	,
8	nižší
9	úrokové
10	sazby
11	švédských
12	bank
13	a
14	posílení
15	dolaru
16	,
17	který
18	umožnil
19	větší
20	konkurenční
21	schopnost
22	švédského
23	zboží
24	na
25	zahraničních
26	trzích
27	.
Position	Tokenization	UPOS	Head	Deprel
1	Pomohlo	VERB	0	root
2	k	ADP	3	case
3	tomu	DET	1	obl:arg
4	snížení	NOUN	1	nsubj
5	výrobních	ADJ	6	amod
6	nákladů	NOUN	4	nmod
7	,	PUNCT	10	punct
8	nižší	ADJ	10	amod
9	úrokové	ADJ	10	amod
10	sazby	NOUN	4	conj
11	švédských	ADJ	12	amod
12	bank	NOUN	10	nmod
13	a	CCONJ	14	cc
14	posílení	NOUN	4	conj
15	dolaru	NOUN	14	nmod
16	,	PUNCT	18	punct
17	který	DET	18	nsubj
18	umožnil	VERB	15	acl:relcl
19	větší	ADJ	21	amod
20	konkurenční	ADJ	21	amod
21	schopnost	NOUN	18	obj
22	švédského	ADJ	23	amod
23	zboží	NOUN	21	nmod
24	na	ADP	26	case
25	zahraničních	ADJ	26	amod
26	trzích	NOUN	18	obl
27	.	PUNCT	1	punct