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 dlouhé řadě filmových Frankensteinů ten jeho vybledne (obzvlášť ve srovnání s první verzí z roku 1934 s Borisem Karloffem) a divákům při něm krev v žilách tuhnout nebude.
Postion	Tokenization
1	V
2	dlouhé
3	řadě
4	filmových
5	Frankensteinů
6	ten
7	jeho
8	vybledne
9	(
10	obzvlášť
11	ve
12	srovnání
13	s
14	první
15	verzí
16	z
17	roku
18	1934
19	s
20	Borisem
21	Karloffem
22	)
23	a
24	divákům
25	při
26	něm
27	krev
28	v
29	žilách
30	tuhnout
31	nebude
32	.
Position	Tokenization	UPOS	Head	Deprel
1	V	ADP	3	case
2	dlouhé	ADJ	3	amod
3	řadě	NOUN	8	obl
4	filmových	ADJ	5	amod
5	Frankensteinů	PROPN	3	nmod
6	ten	DET	8	nsubj
7	jeho	DET	6	det
8	vybledne	VERB	0	root
9	(	PUNCT	10	punct
10	obzvlášť	ADV	8	advmod
11	ve	ADP	15	case
12	srovnání	NOUN	11	fixed
13	s	ADP	11	fixed
14	první	ADJ	15	amod
15	verzí	NOUN	8	obl
16	z	ADP	17	case
17	roku	NOUN	15	nmod
18	1934	NUM	17	nummod
19	s	ADP	20	case
20	Borisem	PROPN	15	nmod
21	Karloffem	PROPN	20	flat
22	)	PUNCT	15	punct
23	a	CCONJ	30	cc
24	divákům	NOUN	30	obl
25	při	ADP	26	case
26	něm	PRON	30	obl
27	krev	NOUN	30	nsubj
28	v	ADP	29	case
29	žilách	NOUN	27	nmod
30	tuhnout	VERB	8	conj
31	nebude	AUX	30	aux
32	.	PUNCT	8	punct