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:
Potřeba psát do Literárních novin a číst je není o nic posvátnější než potřebovat kabát, auto, domek na venkově, knihu básní nebo krém na pleť.
Postion	Tokenization
1	Potřeba
2	psát
3	do
4	Literárních
5	novin
6	a
7	číst
8	je
9	není
10	o
11	nic
12	posvátnější
13	než
14	potřebovat
15	kabát
16	,
17	auto
18	,
19	domek
20	na
21	venkově
22	,
23	knihu
24	básní
25	nebo
26	krém
27	na
28	pleť
29	.
Position	Tokenization	UPOS	Head	Deprel
1	Potřeba	NOUN	12	nsubj
2	psát	VERB	1	acl
3	do	ADP	5	case
4	Literárních	ADJ	5	amod
5	novin	NOUN	2	obl
6	a	CCONJ	7	cc
7	číst	VERB	2	conj
8	je	PRON	7	obj
9	není	AUX	12	cop
10	o	ADP	11	case
11	nic	PRON	12	obl
12	posvátnější	ADJ	0	root
13	než	SCONJ	14	mark
14	potřebovat	VERB	12	advcl
15	kabát	NOUN	14	obj
16	,	PUNCT	17	punct
17	auto	NOUN	15	conj
18	,	PUNCT	19	punct
19	domek	NOUN	15	conj
20	na	ADP	21	case
21	venkově	NOUN	19	nmod
22	,	PUNCT	23	punct
23	knihu	NOUN	15	conj
24	básní	NOUN	23	nmod
25	nebo	CCONJ	26	cc
26	krém	NOUN	15	conj
27	na	ADP	28	case
28	pleť	NOUN	26	nmod
29	.	PUNCT	12	punct