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:
A já si na tento výrok, starý osmnáct set let, vzpomenu, kdykoliv mi přijde na mysl Zdeněk Galuška, protože to platí především o jeho knížkách.
Postion	Tokenization
1	A
2	já
3	si
4	na
5	tento
6	výrok
7	,
8	starý
9	osmnáct
10	set
11	let
12	,
13	vzpomenu
14	,
15	kdykoliv
16	mi
17	přijde
18	na
19	mysl
20	Zdeněk
21	Galuška
22	,
23	protože
24	to
25	platí
26	především
27	o
28	jeho
29	knížkách
30	.
Position	Tokenization	UPOS	Head	Deprel
1	A	CCONJ	13	cc
2	já	PRON	13	nsubj
3	si	PRON	13	expl:pv
4	na	ADP	6	case
5	tento	DET	6	det
6	výrok	NOUN	13	obl:arg
7	,	PUNCT	8	punct
8	starý	ADJ	6	amod
9	osmnáct	NUM	10	nummod:gov
10	set	NOUN	8	obl
11	let	NOUN	10	nmod
12	,	PUNCT	8	punct
13	vzpomenu	VERB	0	root
14	,	PUNCT	17	punct
15	kdykoliv	ADV	17	mark
16	mi	PRON	17	obl:arg
17	přijde	VERB	13	advcl
18	na	ADP	19	case
19	mysl	NOUN	17	obl:arg
20	Zdeněk	PROPN	17	nsubj
21	Galuška	PROPN	20	flat
22	,	PUNCT	25	punct
23	protože	SCONJ	25	mark
24	to	DET	25	nsubj
25	platí	VERB	13	advcl
26	především	ADV	29	advmod:emph
27	o	ADP	29	case
28	jeho	DET	29	det
29	knížkách	NOUN	25	obl
30	.	PUNCT	13	punct