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:
Přes značný pokles spotřeby fosforečných hnojiv v zemědělství není pozorován pokles koncentrací fosforu, což se projevuje eutrofizací vody v Želivce.
Postion	Tokenization
1	Přes
2	značný
3	pokles
4	spotřeby
5	fosforečných
6	hnojiv
7	v
8	zemědělství
9	není
10	pozorován
11	pokles
12	koncentrací
13	fosforu
14	,
15	což
16	se
17	projevuje
18	eutrofizací
19	vody
20	v
21	Želivce
22	.
Position	Tokenization	UPOS	Head	Deprel
1	Přes	ADP	3	case
2	značný	ADJ	3	amod
3	pokles	NOUN	10	obl
4	spotřeby	NOUN	3	nmod
5	fosforečných	ADJ	6	amod
6	hnojiv	NOUN	4	nmod
7	v	ADP	8	case
8	zemědělství	NOUN	6	nmod
9	není	AUX	10	aux:pass
10	pozorován	ADJ	0	root
11	pokles	NOUN	10	nsubj:pass
12	koncentrací	NOUN	11	nmod
13	fosforu	NOUN	12	nmod
14	,	PUNCT	17	punct
15	což	PRON	17	nsubj
16	se	PRON	17	expl:pv
17	projevuje	VERB	10	conj
18	eutrofizací	NOUN	17	obl
19	vody	NOUN	18	nmod
20	v	ADP	21	case
21	Želivce	PROPN	19	nmod
22	.	PUNCT	10	punct