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:
Vypadá dírami přes rozervané džíny velmi rozechvěle, asi jako novinář Joachim, který tvrdil, že pro něj už slunce v Berlíně nesvítí.
Postion	Tokenization
1	Vypadá
2	dírami
3	přes
4	rozervané
5	džíny
6	velmi
7	rozechvěle
8	,
9	asi
10	jako
11	novinář
12	Joachim
13	,
14	který
15	tvrdil
16	,
17	že
18	pro
19	něj
20	už
21	slunce
22	v
23	Berlíně
24	nesvítí
25	.
Position	Tokenization	UPOS	Head	Deprel
1	Vypadá	VERB	0	root
2	dírami	NOUN	1	obl
3	přes	ADP	5	case
4	rozervané	ADJ	5	amod
5	džíny	NOUN	2	nmod
6	velmi	ADV	7	advmod
7	rozechvěle	ADV	1	advmod
8	,	PUNCT	11	punct
9	asi	PART	11	advmod:emph
10	jako	SCONJ	11	mark
11	novinář	NOUN	1	advcl
12	Joachim	PROPN	11	flat
13	,	PUNCT	15	punct
14	který	DET	15	nsubj
15	tvrdil	VERB	11	acl:relcl
16	,	PUNCT	24	punct
17	že	SCONJ	24	mark
18	pro	ADP	19	case
19	něj	PRON	24	obl
20	už	ADV	24	advmod
21	slunce	NOUN	24	nsubj
22	v	ADP	23	case
23	Berlíně	PROPN	24	obl
24	nesvítí	VERB	15	ccomp
25	.	PUNCT	1	punct