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:
Přijela k nám hájit zájmy tabákové společnosti - sem, kde shodou okolností podle britských odhadů umírá denně 63 lidí na následky kouření.
Postion	Tokenization
1	Přijela
2	k
3	nám
4	hájit
5	zájmy
6	tabákové
7	společnosti
8	-
9	sem
10	,
11	kde
12	shodou
13	okolností
14	podle
15	britských
16	odhadů
17	umírá
18	denně
19	63
20	lidí
21	na
22	následky
23	kouření
24	.
Position	Tokenization	UPOS	Head	Deprel
1	Přijela	VERB	0	root
2	k	ADP	3	case
3	nám	PRON	1	obl
4	hájit	VERB	1	advcl
5	zájmy	NOUN	4	obj
6	tabákové	ADJ	7	amod
7	společnosti	NOUN	5	nmod
8	-	PUNCT	9	punct
9	sem	ADV	3	appos
10	,	PUNCT	17	punct
11	kde	ADV	17	advmod
12	shodou	NOUN	17	obl
13	okolností	NOUN	12	nmod
14	podle	ADP	16	case
15	britských	ADJ	16	amod
16	odhadů	NOUN	17	obl
17	umírá	VERB	3	appos
18	denně	ADV	17	advmod
19	63	NUM	20	nummod:gov
20	lidí	NOUN	17	nsubj
21	na	ADP	22	case
22	následky	NOUN	17	obl
23	kouření	NOUN	22	nmod
24	.	PUNCT	1	punct