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:
V celé své hrůze se tento příběh stal zdrojem útěchy pro všechny, kteří ho přijali za svůj a předávají ho dále, vtiskujíce do něj svou vlastní zkušenost.
Postion	Tokenization
1	V
2	celé
3	své
4	hrůze
5	se
6	tento
7	příběh
8	stal
9	zdrojem
10	útěchy
11	pro
12	všechny
13	,
14	kteří
15	ho
16	přijali
17	za
18	svůj
19	a
20	předávají
21	ho
22	dále
23	,
24	vtiskujíce
25	do
26	něj
27	svou
28	vlastní
29	zkušenost
30	.
Position	Tokenization	UPOS	Head	Deprel
1	V	ADP	4	case
2	celé	ADJ	4	amod
3	své	DET	4	det
4	hrůze	NOUN	8	obl
5	se	PRON	8	expl:pv
6	tento	DET	7	det
7	příběh	NOUN	8	nsubj
8	stal	VERB	0	root
9	zdrojem	NOUN	8	obl:arg
10	útěchy	NOUN	9	nmod
11	pro	ADP	12	case
12	všechny	DET	10	det
13	,	PUNCT	16	punct
14	kteří	DET	16	nsubj
15	ho	PRON	16	obj
16	přijali	VERB	12	acl:relcl
17	za	ADP	18	case
18	svůj	DET	16	obl:arg
19	a	CCONJ	20	cc
20	předávají	VERB	16	conj
21	ho	PRON	20	iobj
22	dále	ADV	20	advmod
23	,	PUNCT	24	punct
24	vtiskujíce	VERB	20	xcomp
25	do	ADP	26	case
26	něj	PRON	24	obl
27	svou	DET	29	det
28	vlastní	ADJ	29	amod
29	zkušenost	NOUN	24	obj
30	.	PUNCT	8	punct