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:
Jestliže malý a roztomilý Oberstdorf je spíš místem zimní rekreace středních vrstev, pak noblesní až poněkud snobský Garmisch-Partenkirchen je tradičním místem horních deseti tisíc.
Postion	Tokenization
1	Jestliže
2	malý
3	a
4	roztomilý
5	Oberstdorf
6	je
7	spíš
8	místem
9	zimní
10	rekreace
11	středních
12	vrstev
13	,
14	pak
15	noblesní
16	až
17	poněkud
18	snobský
19	Garmisch
20	-
21	Partenkirchen
22	je
23	tradičním
24	místem
25	horních
26	deseti
27	tisíc
28	.
Position	Tokenization	UPOS	Head	Deprel
1	Jestliže	SCONJ	8	mark
2	malý	ADJ	5	amod
3	a	CCONJ	4	cc
4	roztomilý	ADJ	2	conj
5	Oberstdorf	PROPN	8	nsubj
6	je	AUX	8	cop
7	spíš	ADV	8	advmod
8	místem	NOUN	24	advcl
9	zimní	ADJ	10	amod
10	rekreace	NOUN	8	nmod
11	středních	ADJ	12	amod
12	vrstev	NOUN	10	nmod
13	,	PUNCT	8	punct
14	pak	ADV	24	advmod
15	noblesní	ADJ	21	amod
16	až	CCONJ	18	cc
17	poněkud	ADV	18	advmod
18	snobský	ADJ	15	conj
19	Garmisch	PROPN	21	nmod
20	-	PUNCT	21	punct
21	Partenkirchen	PROPN	24	nsubj
22	je	AUX	24	cop
23	tradičním	ADJ	24	amod
24	místem	NOUN	0	root
25	horních	ADJ	27	dep
26	deseti	NUM	27	compound
27	tisíc	NUM	24	nummod
28	.	PUNCT	24	punct