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 text: Coppola, jenž po svém Draculovi patrně našel zalíbení v nelidských příšerách, svěřil svůj projekt čtyřiatřicetiletému herci, divadelníkovi a filmaři, u nás známému snímky Jindřich V. a Znovu po smrti.
Position	Tokenization	UPOS	Head	Deprel
1	Coppola	PROPN	14	nsubj
2	,	PUNCT	8	punct
3	jenž	PRON	8	nsubj
4	po	ADP	6	case
5	svém	DET	6	det
6	Draculovi	PROPN	8	obl
7	patrně	ADV	8	advmod
8	našel	VERB	1	acl:relcl
9	zalíbení	NOUN	8	obj
10	v	ADP	12	case
11	nelidských	ADJ	12	amod
12	příšerách	NOUN	8	obl
13	,	PUNCT	8	punct
14	svěřil	VERB	0	root
15	svůj	DET	16	det
16	projekt	NOUN	14	obj
17	čtyřiatřicetiletému	ADJ	18	amod
18	herci	NOUN	14	obl:arg
19	,	PUNCT	20	punct
20	divadelníkovi	NOUN	18	conj
21	a	CCONJ	22	cc
22	filmaři	NOUN	18	conj
23	,	PUNCT	26	punct
24	u	ADP	25	case
25	nás	PRON	26	nmod
26	známému	ADJ	18	amod
27	snímky	NOUN	26	obl:arg
28	Jindřich	PROPN	27	nmod
29	V	NUM	28	nummod
30	.	PUNCT	29	punct
31	_	_	None	_
32	a	CCONJ	32	cc
33	Znovu	ADV	28	conj
34	po	ADP	34	case
35	smrti	NOUN	32	orphan
36	.	PUNCT	14	punct