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:
Na mém zlepšení stejně jako Hanky Benešové má svůj podíl pneumatika (k posilovacímu pásu se na lano připevní pneumatika z osobního auta a s ní se atlet pokouší utíkat - poz. red.).
Postion	Tokenization
1	Na
2	mém
3	zlepšení
4	stejně
5	jako
6	Hanky
7	Benešové
8	má
9	svůj
10	podíl
11	pneumatika
12	(
13	k
14	posilovacímu
15	pásu
16	se
17	na
18	lano
19	připevní
20	pneumatika
21	z
22	osobního
23	auta
24	a
25	s
26	ní
27	se
28	atlet
29	pokouší
30	utíkat
31	-
32	poz
33	.
34	red
35	.
36	)
37	.
Position	Tokenization	UPOS	Head	Deprel
1	Na	ADP	3	case
2	mém	DET	3	det
3	zlepšení	NOUN	10	nmod
4	stejně	ADV	8	advmod
5	jako	SCONJ	6	mark
6	Hanky	PROPN	4	advcl
7	Benešové	PROPN	6	flat
8	má	VERB	0	root
9	svůj	DET	10	det
10	podíl	NOUN	8	obj
11	pneumatika	NOUN	8	nsubj
12	(	PUNCT	19	punct
13	k	ADP	15	case
14	posilovacímu	ADJ	15	amod
15	pásu	NOUN	19	obl
16	se	PRON	19	expl:pass
17	na	ADP	18	case
18	lano	NOUN	19	obl
19	připevní	VERB	8	parataxis
20	pneumatika	NOUN	19	nsubj:pass
21	z	ADP	23	case
22	osobního	ADJ	23	amod
23	auta	NOUN	20	nmod
24	a	CCONJ	29	cc
25	s	ADP	26	case
26	ní	PRON	29	obl
27	se	PRON	29	expl:pv
28	atlet	NOUN	29	nsubj
29	pokouší	VERB	19	conj
30	utíkat	VERB	29	xcomp
31	-	PUNCT	19	punct
32	poz	NOUN	19	dep
33	.	PUNCT	32	punct
34	red	NOUN	32	nmod
35	.	PUNCT	34	punct
36	)	PUNCT	19	punct
37	.	PUNCT	8	punct