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 text: Jezero Neziderské, které již několikráte, posledně v letech 60tých, úplně vyschlo, pozbylo v posledních dvou letech opět polovici své vody, i nemá té chvíle na nejhlubších místech více vody než-li zvýši metru.
Position	Tokenization	UPOS	Head	Deprel
1	Jezero	NOUN	17	nsubj
2	Neziderské	ADJ	1	amod
3	,	PUNCT	15	punct
4	které	DET	15	nsubj
5	již	ADV	6	advmod:emph
6	několikráte	ADV	15	obl
7	,	PUNCT	8	punct
8	posledně	ADV	6	appos
9	v	ADP	10	case
10	letech	NOUN	8	obl
11	60	NUM	12	nummod
12	tých	ADJ	10	amod
13	,	PUNCT	8	punct
14	úplně	ADV	15	advmod
15	vyschlo	VERB	1	acl:relcl
16	,	PUNCT	15	punct
17	pozbylo	VERB	0	root
18	v	ADP	21	case
19	posledních	ADJ	21	amod
20	dvou	NUM	21	nummod
21	letech	NOUN	17	obl
22	opět	ADV	17	advmod
23	polovici	NOUN	17	obj
24	své	DET	25	det
25	vody	NOUN	23	nmod
26	,	PUNCT	28	punct
27	i	CCONJ	28	cc
28	nemá	VERB	17	conj
29	té	DET	30	det
30	chvíle	NOUN	28	obl
31	na	ADP	33	case
32	nejhlubších	ADJ	33	amod
33	místech	NOUN	28	obl
34	více	ADV	28	obj
35	vody	NOUN	34	nmod
36	než	SCONJ	40	mark
37	-	PUNCT	38	punct
38	li	PART	36	fixed
39	zvýši	ADP	40	case
40	metru	NOUN	34	obl
41	.	PUNCT	17	punct