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:
Zanedbatelné není ani to, jak rekonstrukce přispívají i například ke zkrášlení prostředí ve městě, což má pozitivní vliv i na rozvoj turistického ruchu.
Postion	Tokenization
1	Zanedbatelné
2	není
3	ani
4	to
5	,
6	jak
7	rekonstrukce
8	přispívají
9	i
10	například
11	ke
12	zkrášlení
13	prostředí
14	ve
15	městě
16	,
17	což
18	má
19	pozitivní
20	vliv
21	i
22	na
23	rozvoj
24	turistického
25	ruchu
26	.
Position	Tokenization	UPOS	Head	Deprel
1	Zanedbatelné	ADJ	0	root
2	není	AUX	1	cop
3	ani	CCONJ	4	advmod:emph
4	to	DET	1	nsubj
5	,	PUNCT	8	punct
6	jak	ADV	8	mark
7	rekonstrukce	NOUN	8	nsubj
8	přispívají	VERB	4	acl
9	i	CCONJ	12	advmod:emph
10	například	ADV	12	advmod:emph
11	ke	ADP	12	case
12	zkrášlení	NOUN	8	obl:arg
13	prostředí	NOUN	12	nmod
14	ve	ADP	15	case
15	městě	NOUN	13	nmod
16	,	PUNCT	18	punct
17	což	PRON	18	nsubj
18	má	VERB	1	conj
19	pozitivní	ADJ	20	amod
20	vliv	NOUN	18	obj
21	i	CCONJ	23	advmod:emph
22	na	ADP	23	case
23	rozvoj	NOUN	20	nmod
24	turistického	ADJ	25	amod
25	ruchu	NOUN	23	nmod
26	.	PUNCT	1	punct