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:
Ve věku 79 let zemřel ve svém domě v Yorkshiru v severní Anglii známý britský spisovatel a bývalý zvěrolékař James Herriot.
Postion	Tokenization
1	Ve
2	věku
3	79
4	let
5	zemřel
6	ve
7	svém
8	domě
9	v
10	Yorkshiru
11	v
12	severní
13	Anglii
14	známý
15	britský
16	spisovatel
17	a
18	bývalý
19	zvěrolékař
20	James
21	Herriot
22	.
Position	Tokenization	UPOS	Head	Deprel
1	Ve	ADP	2	case
2	věku	NOUN	5	obl
3	79	NUM	4	nummod
4	let	NOUN	2	nmod
5	zemřel	VERB	0	root
6	ve	ADP	8	case
7	svém	DET	8	det
8	domě	NOUN	5	obl
9	v	ADP	10	case
10	Yorkshiru	PROPN	8	nmod
11	v	ADP	13	case
12	severní	ADJ	13	amod
13	Anglii	PROPN	8	nmod
14	známý	ADJ	16	amod
15	britský	ADJ	16	amod
16	spisovatel	NOUN	20	nmod
17	a	CCONJ	19	cc
18	bývalý	ADJ	19	amod
19	zvěrolékař	NOUN	16	conj
20	James	PROPN	5	nsubj
21	Herriot	PROPN	20	flat
22	.	PUNCT	5	punct