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:
K tomu je zapotřebí připočítat více než 3500 různých nadací, které jsou z hlediska platné legislativy rovněž chápány jako účelová sdružení majetku k obecně prospěšnému účelu.
Postion	Tokenization
1	K
2	tomu
3	je
4	zapotřebí
5	připočítat
6	více
7	než
8	3500
9	různých
10	nadací
11	,
12	které
13	jsou
14	z
15	hlediska
16	platné
17	legislativy
18	rovněž
19	chápány
20	jako
21	účelová
22	sdružení
23	majetku
24	k
25	obecně
26	prospěšnému
27	účelu
28	.
Position	Tokenization	UPOS	Head	Deprel
1	K	ADP	2	case
2	tomu	DET	5	obl
3	je	AUX	4	cop
4	zapotřebí	ADV	0	root
5	připočítat	VERB	4	csubj
6	více	ADV	5	obj
7	než	SCONJ	10	mark
8	3500	NUM	10	nummod:gov
9	různých	ADJ	10	amod
10	nadací	NOUN	6	obl
11	,	PUNCT	19	punct
12	které	DET	19	nsubj:pass
13	jsou	AUX	19	aux:pass
14	z	ADP	17	case
15	hlediska	NOUN	14	fixed
16	platné	ADJ	17	amod
17	legislativy	NOUN	19	obl
18	rovněž	ADV	19	advmod
19	chápány	ADJ	10	amod
20	jako	SCONJ	22	mark
21	účelová	ADJ	22	amod
22	sdružení	NOUN	12	xcomp
23	majetku	NOUN	22	nmod
24	k	ADP	27	case
25	obecně	ADV	26	advmod
26	prospěšnému	ADJ	27	amod
27	účelu	NOUN	22	nmod
28	.	PUNCT	4	punct