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 text: Zážitkem pro ni spíš byla akce předních švýcarských sportovců včetně olympijského vítěze koulaře Günthöra, kteří v St. Moritz zapřáhli koně a závodili v jízdě na lyžích, nebo oběd se zpěvákem DJ Bobem.
Position	Tokenization	UPOS	Head	Deprel
1	Zážitkem	NOUN	0	root
2	pro	ADP	3	case
3	ni	PRON	1	obl
4	spíš	ADV	1	advmod
5	byla	AUX	1	cop
6	akce	NOUN	1	nsubj
7	předních	ADJ	9	amod
8	švýcarských	ADJ	9	amod
9	sportovců	NOUN	6	nmod
10	včetně	ADP	12	case
11	olympijského	ADJ	12	amod
12	vítěze	NOUN	9	nmod
13	koulaře	NOUN	12	flat
14	Günthöra	PROPN	12	flat
15	,	PUNCT	21	punct
16	kteří	DET	21	nsubj
17	v	ADP	18	case
18	St	ADJ	21	obl
19	.	PUNCT	18	punct
20	Moritz	PROPN	18	flat:foreign
21	zapřáhli	VERB	9	acl:relcl
22	koně	NOUN	21	obj
23	a	CCONJ	24	cc
24	závodili	VERB	21	conj
25	v	ADP	26	case
26	jízdě	NOUN	24	obl
27	na	ADP	28	case
28	lyžích	NOUN	26	nmod
29	,	PUNCT	31	punct
30	nebo	CCONJ	31	cc
31	oběd	NOUN	6	conj
32	se	ADP	33	case
33	zpěvákem	NOUN	31	nmod
34	DJ	NOUN	33	nmod
35	Bobem	PROPN	33	flat
36	.	PUNCT	1	punct