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:
Na třítýdenní ozdravný pobyt do městečka Villach v rakouských Korutanech odjela včera skupina sedmdesáti dětí ze smogem ohrožených severočeských měst Most a Děčín.
Postion	Tokenization
1	Na
2	třítýdenní
3	ozdravný
4	pobyt
5	do
6	městečka
7	Villach
8	v
9	rakouských
10	Korutanech
11	odjela
12	včera
13	skupina
14	sedmdesáti
15	dětí
16	ze
17	smogem
18	ohrožených
19	severočeských
20	měst
21	Most
22	a
23	Děčín
24	.
Position	Tokenization	UPOS	Head	Deprel
1	Na	ADP	4	case
2	třítýdenní	ADJ	4	amod
3	ozdravný	ADJ	4	amod
4	pobyt	NOUN	11	obl
5	do	ADP	6	case
6	městečka	NOUN	4	nmod
7	Villach	PROPN	6	nmod
8	v	ADP	10	case
9	rakouských	ADJ	10	amod
10	Korutanech	PROPN	7	nmod
11	odjela	VERB	0	root
12	včera	ADV	11	advmod
13	skupina	NOUN	11	nsubj
14	sedmdesáti	NUM	15	nummod
15	dětí	NOUN	13	nmod
16	ze	ADP	20	case
17	smogem	NOUN	18	obl:arg
18	ohrožených	ADJ	20	amod
19	severočeských	ADJ	20	amod
20	měst	NOUN	11	obl
21	Most	PROPN	20	nmod
22	a	CCONJ	23	cc
23	Děčín	PROPN	21	conj
24	.	PUNCT	11	punct