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:
Ekonomice provozu příliš nesvědčily i některé chyby, jichž se dopouštěla nájemkyně chaty, například jídlo a další proviant se nahoru vozily rolbou místo saněmi, což se kvůli spotřebě paliva dost prodražovalo.
Postion	Tokenization
1	Ekonomice
2	provozu
3	příliš
4	nesvědčily
5	i
6	některé
7	chyby
8	,
9	jichž
10	se
11	dopouštěla
12	nájemkyně
13	chaty
14	,
15	například
16	jídlo
17	a
18	další
19	proviant
20	se
21	nahoru
22	vozily
23	rolbou
24	místo
25	saněmi
26	,
27	což
28	se
29	kvůli
30	spotřebě
31	paliva
32	dost
33	prodražovalo
34	.
Position	Tokenization	UPOS	Head	Deprel
1	Ekonomice	NOUN	4	obl:arg
2	provozu	NOUN	1	nmod
3	příliš	ADV	4	advmod
4	nesvědčily	VERB	0	root
5	i	CCONJ	7	advmod:emph
6	některé	DET	7	det
7	chyby	NOUN	4	nsubj
8	,	PUNCT	11	punct
9	jichž	PRON	11	obl:arg
10	se	PRON	11	expl:pv
11	dopouštěla	VERB	7	acl:relcl
12	nájemkyně	NOUN	11	nsubj
13	chaty	NOUN	12	nmod
14	,	PUNCT	22	punct
15	například	ADV	22	advmod
16	jídlo	NOUN	22	nsubj:pass
17	a	CCONJ	19	cc
18	další	ADJ	19	amod
19	proviant	NOUN	16	conj
20	se	PRON	22	expl:pass
21	nahoru	ADV	22	advmod
22	vozily	VERB	7	acl
23	rolbou	NOUN	22	obl
24	místo	ADP	25	case
25	saněmi	NOUN	22	dep
26	,	PUNCT	33	punct
27	což	PRON	33	nsubj
28	se	PRON	33	expl:pv
29	kvůli	ADP	30	case
30	spotřebě	NOUN	33	obl
31	paliva	NOUN	30	nmod
32	dost	ADV	33	advmod
33	prodražovalo	VERB	22	conj
34	.	PUNCT	4	punct