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:
Tesla, která předala v závěru minulého roku své výrobní aktivity do šesti dceřiných společností, v současné době zaměstnává 16 osob a neprodukuje žádné výrobky.
Postion	Tokenization
1	Tesla
2	,
3	která
4	předala
5	v
6	závěru
7	minulého
8	roku
9	své
10	výrobní
11	aktivity
12	do
13	šesti
14	dceřiných
15	společností
16	,
17	v
18	současné
19	době
20	zaměstnává
21	16
22	osob
23	a
24	neprodukuje
25	žádné
26	výrobky
27	.
Position	Tokenization	UPOS	Head	Deprel
1	Tesla	PROPN	20	nsubj
2	,	PUNCT	4	punct
3	která	DET	4	nsubj
4	předala	VERB	1	acl:relcl
5	v	ADP	8	case
6	závěru	NOUN	5	fixed
7	minulého	ADJ	8	amod
8	roku	NOUN	4	obl
9	své	DET	11	det
10	výrobní	ADJ	11	amod
11	aktivity	NOUN	4	obj
12	do	ADP	15	case
13	šesti	NUM	15	nummod
14	dceřiných	ADJ	15	amod
15	společností	NOUN	4	obl
16	,	PUNCT	20	punct
17	v	ADP	19	case
18	současné	ADJ	19	amod
19	době	NOUN	20	obl
20	zaměstnává	VERB	0	root
21	16	NUM	22	nummod:gov
22	osob	NOUN	20	obj
23	a	CCONJ	24	cc
24	neprodukuje	VERB	20	conj
25	žádné	DET	26	det
26	výrobky	NOUN	24	obj
27	.	PUNCT	20	punct