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:
Daleko více se však disproporce objevují v oblasti služeb, tu ale naše tabulka nezachycuje, které jsou ovlivněny výší poptávky ze strany zahraničních turistů.
Postion	Tokenization
1	Daleko
2	více
3	se
4	však
5	disproporce
6	objevují
7	v
8	oblasti
9	služeb
10	,
11	tu
12	ale
13	naše
14	tabulka
15	nezachycuje
16	,
17	které
18	jsou
19	ovlivněny
20	výší
21	poptávky
22	ze
23	strany
24	zahraničních
25	turistů
26	.
Position	Tokenization	UPOS	Head	Deprel
1	Daleko	ADV	2	advmod
2	více	ADV	6	advmod
3	se	PRON	6	expl:pv
4	však	CCONJ	6	cc
5	disproporce	NOUN	6	nsubj
6	objevují	VERB	0	root
7	v	ADP	8	case
8	oblasti	NOUN	6	obl
9	služeb	NOUN	8	nmod
10	,	PUNCT	15	punct
11	tu	DET	15	obj
12	ale	CCONJ	15	cc
13	naše	DET	14	det
14	tabulka	NOUN	15	nsubj
15	nezachycuje	VERB	6	parataxis
16	,	PUNCT	19	punct
17	které	DET	19	nsubj
18	jsou	AUX	19	cop
19	ovlivněny	ADJ	9	acl:relcl
20	výší	NOUN	19	obl:arg
21	poptávky	NOUN	20	nmod
22	ze	ADP	23	case
23	strany	NOUN	21	nmod
24	zahraničních	ADJ	25	amod
25	turistů	NOUN	23	nmod
26	.	PUNCT	6	punct