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:
Rezivějící kovové monstrum tak jen umocňuje smíšené pocity všech - obyvateli Prahy počínaje a zahraničními turisty konče, kteří nechápou, proč železný kolos není zprovozněn, nebo odvezen.
Postion	Tokenization
1	Rezivějící
2	kovové
3	monstrum
4	tak
5	jen
6	umocňuje
7	smíšené
8	pocity
9	všech
10	-
11	obyvateli
12	Prahy
13	počínaje
14	a
15	zahraničními
16	turisty
17	konče
18	,
19	kteří
20	nechápou
21	,
22	proč
23	železný
24	kolos
25	není
26	zprovozněn
27	,
28	nebo
29	odvezen
30	.
Position	Tokenization	UPOS	Head	Deprel
1	Rezivějící	ADJ	3	amod
2	kovové	ADJ	3	amod
3	monstrum	NOUN	6	nsubj
4	tak	ADV	6	advmod
5	jen	PART	6	advmod:emph
6	umocňuje	VERB	0	root
7	smíšené	ADJ	8	amod
8	pocity	NOUN	6	obj
9	všech	DET	8	amod
10	-	PUNCT	13	punct
11	obyvateli	NOUN	13	obl:arg
12	Prahy	PROPN	11	nmod
13	počínaje	VERB	9	dep
14	a	CCONJ	17	cc
15	zahraničními	ADJ	16	amod
16	turisty	NOUN	17	obl:arg
17	konče	VERB	13	conj
18	,	PUNCT	13	punct
19	kteří	DET	20	nsubj
20	nechápou	VERB	9	acl:relcl
21	,	PUNCT	26	punct
22	proč	ADV	26	advmod
23	železný	ADJ	24	amod
24	kolos	NOUN	26	nsubj
25	není	AUX	26	aux
26	zprovozněn	ADJ	20	obj
27	,	PUNCT	29	punct
28	nebo	CCONJ	29	cc
29	odvezen	ADJ	26	conj
30	.	PUNCT	6	punct