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:
Nicméně průzkumy dokázaly, že výroba těchto potřeb z recyklovaného papíru není možná například pro vysoký obsah těžkých kovů v něm.
Postion	Tokenization
1	Nicméně
2	průzkumy
3	dokázaly
4	,
5	že
6	výroba
7	těchto
8	potřeb
9	z
10	recyklovaného
11	papíru
12	není
13	možná
14	například
15	pro
16	vysoký
17	obsah
18	těžkých
19	kovů
20	v
21	něm
22	.
Position	Tokenization	UPOS	Head	Deprel
1	Nicméně	CCONJ	3	cc
2	průzkumy	NOUN	3	nsubj
3	dokázaly	VERB	0	root
4	,	PUNCT	13	punct
5	že	SCONJ	13	mark
6	výroba	NOUN	13	nsubj
7	těchto	DET	8	det
8	potřeb	NOUN	6	nmod
9	z	ADP	11	case
10	recyklovaného	ADJ	11	amod
11	papíru	NOUN	8	nmod
12	není	AUX	13	cop
13	možná	ADJ	3	ccomp
14	například	ADV	17	advmod:emph
15	pro	ADP	17	case
16	vysoký	ADJ	17	amod
17	obsah	NOUN	13	obl
18	těžkých	ADJ	19	amod
19	kovů	NOUN	17	nmod
20	v	ADP	21	case
21	něm	PRON	17	nmod
22	.	PUNCT	3	punct