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:
Chtěli jsme tak odbřemenit výrobní podniky od majetku, který nemá mnoho společného s jeho vlastní podnikatelskou činností, a spíš mu přidělává starosti a zvyšuje náklady.
Postion	Tokenization
1	Chtěli
2	jsme
3	tak
4	odbřemenit
5	výrobní
6	podniky
7	od
8	majetku
9	,
10	který
11	nemá
12	mnoho
13	společného
14	s
15	jeho
16	vlastní
17	podnikatelskou
18	činností
19	,
20	a
21	spíš
22	mu
23	přidělává
24	starosti
25	a
26	zvyšuje
27	náklady
28	.
Position	Tokenization	UPOS	Head	Deprel
1	Chtěli	VERB	0	root
2	jsme	AUX	1	aux
3	tak	ADV	4	advmod
4	odbřemenit	VERB	1	xcomp
5	výrobní	ADJ	6	amod
6	podniky	NOUN	4	obj
7	od	ADP	8	case
8	majetku	NOUN	4	obl
9	,	PUNCT	11	punct
10	který	DET	11	nsubj
11	nemá	VERB	8	acl:relcl
12	mnoho	DET	11	obj
13	společného	ADJ	12	xcomp
14	s	ADP	18	case
15	jeho	DET	18	det
16	vlastní	ADJ	18	amod
17	podnikatelskou	ADJ	18	amod
18	činností	NOUN	13	obl:arg
19	,	PUNCT	23	punct
20	a	CCONJ	23	cc
21	spíš	ADV	23	advmod
22	mu	PRON	23	obl:arg
23	přidělává	VERB	11	conj
24	starosti	NOUN	23	obj
25	a	CCONJ	26	cc
26	zvyšuje	VERB	23	conj
27	náklady	NOUN	26	obj
28	.	PUNCT	1	punct