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:
Společenství přitom dalo na vědomí, že postupně přejde od systému, kdy byla dotována výroba zemědělských produktů, k mechanismu, kdy peníze získává přímo zemědělec jako příplatek k osobnímu důchodu.
Postion	Tokenization
1	Společenství
2	přitom
3	dalo
4	na
5	vědomí
6	,
7	že
8	postupně
9	přejde
10	od
11	systému
12	,
13	kdy
14	byla
15	dotována
16	výroba
17	zemědělských
18	produktů
19	,
20	k
21	mechanismu
22	,
23	kdy
24	peníze
25	získává
26	přímo
27	zemědělec
28	jako
29	příplatek
30	k
31	osobnímu
32	důchodu
33	.
Position	Tokenization	UPOS	Head	Deprel
1	Společenství	NOUN	3	nsubj
2	přitom	ADV	3	advmod
3	dalo	VERB	0	root
4	na	ADP	5	case
5	vědomí	NOUN	3	obl:arg
6	,	PUNCT	9	punct
7	že	SCONJ	9	mark
8	postupně	ADV	9	advmod
9	přejde	VERB	3	ccomp
10	od	ADP	11	case
11	systému	NOUN	9	obl
12	,	PUNCT	15	punct
13	kdy	ADV	15	advmod
14	byla	AUX	15	aux:pass
15	dotována	ADJ	11	amod
16	výroba	NOUN	15	nsubj:pass
17	zemědělských	ADJ	18	amod
18	produktů	NOUN	16	nmod
19	,	PUNCT	15	punct
20	k	ADP	21	case
21	mechanismu	NOUN	9	obl
22	,	PUNCT	25	punct
23	kdy	ADV	25	advmod
24	peníze	NOUN	25	obj
25	získává	VERB	21	acl:relcl
26	přímo	ADV	27	advmod:emph
27	zemědělec	NOUN	25	nsubj
28	jako	SCONJ	29	mark
29	příplatek	NOUN	24	xcomp
30	k	ADP	32	case
31	osobnímu	ADJ	32	amod
32	důchodu	NOUN	29	nmod
33	.	PUNCT	3	punct