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:
Dvou až čtyřtisícová štýrská horská městečka mívají zhruba dvojnásobné množství lůžek pro návštěvníky, tedy žádné neúnosné přemnožení, ani ztráta osobité atmosféry v neprospěch anonymity turistického průmyslu.
Postion	Tokenization
1	Dvou
2	až
3	čtyřtisícová
4	štýrská
5	horská
6	městečka
7	mívají
8	zhruba
9	dvojnásobné
10	množství
11	lůžek
12	pro
13	návštěvníky
14	,
15	tedy
16	žádné
17	neúnosné
18	přemnožení
19	,
20	ani
21	ztráta
22	osobité
23	atmosféry
24	v
25	neprospěch
26	anonymity
27	turistického
28	průmyslu
29	.
Position	Tokenization	UPOS	Head	Deprel
1	Dvou	NUM	6	nummod
2	až	CCONJ	3	cc
3	čtyřtisícová	ADJ	1	conj
4	štýrská	ADJ	6	amod
5	horská	ADJ	6	amod
6	městečka	NOUN	7	nsubj
7	mívají	VERB	0	root
8	zhruba	ADV	10	advmod:emph
9	dvojnásobné	ADJ	10	amod
10	množství	NOUN	7	obj
11	lůžek	NOUN	10	nmod
12	pro	ADP	13	case
13	návštěvníky	NOUN	11	nmod
14	,	PUNCT	18	punct
15	tedy	ADV	18	cc
16	žádné	DET	18	det
17	neúnosné	ADJ	18	amod
18	přemnožení	NOUN	7	appos
19	,	PUNCT	21	punct
20	ani	CCONJ	21	cc
21	ztráta	NOUN	18	conj
22	osobité	ADJ	23	amod
23	atmosféry	NOUN	21	nmod
24	v	ADP	25	case
25	neprospěch	NOUN	21	nmod
26	anonymity	NOUN	25	nmod
27	turistického	ADJ	28	amod
28	průmyslu	NOUN	26	nmod
29	.	PUNCT	7	punct