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:
Celá otázka je ovšem složitější: Švýcaři totiž ještě nevědí, zda do Evropy vůbec chtějí, a zda tudíž vlastně není zbytečné rozšiřovat dopravní síť a ničit Alpy.
Postion	Tokenization
1	Celá
2	otázka
3	je
4	ovšem
5	složitější
6	:
7	Švýcaři
8	totiž
9	ještě
10	nevědí
11	,
12	zda
13	do
14	Evropy
15	vůbec
16	chtějí
17	,
18	a
19	zda
20	tudíž
21	vlastně
22	není
23	zbytečné
24	rozšiřovat
25	dopravní
26	síť
27	a
28	ničit
29	Alpy
30	.
Position	Tokenization	UPOS	Head	Deprel
1	Celá	ADJ	2	amod
2	otázka	NOUN	5	nsubj
3	je	AUX	5	cop
4	ovšem	CCONJ	5	cc
5	složitější	ADJ	0	root
6	:	PUNCT	10	punct
7	Švýcaři	PROPN	10	nsubj
8	totiž	ADV	10	advmod
9	ještě	ADV	10	advmod
10	nevědí	VERB	5	conj
11	,	PUNCT	16	punct
12	zda	SCONJ	16	mark
13	do	ADP	14	case
14	Evropy	PROPN	16	obl
15	vůbec	ADV	16	advmod:emph
16	chtějí	VERB	10	ccomp
17	,	PUNCT	23	punct
18	a	CCONJ	23	cc
19	zda	SCONJ	23	mark
20	tudíž	CCONJ	23	cc
21	vlastně	ADV	23	advmod
22	není	AUX	23	cop
23	zbytečné	ADJ	16	conj
24	rozšiřovat	VERB	23	csubj
25	dopravní	ADJ	26	amod
26	síť	NOUN	24	obj
27	a	CCONJ	28	cc
28	ničit	VERB	24	conj
29	Alpy	PROPN	28	obj
30	.	PUNCT	5	punct