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: Josef Lux informoval, že v ČR poklesly imise oxidu síry do ovzduší pod 700 tisíc tun (v roce 1980 to byl téměř milion tun) a že až 40 procent imisní zátěže ohrožující zdraví lesa má v současné době původ v zahraničí.
Position	Tokenization	UPOS	Head	Deprel
1	Josef	PROPN	3	nsubj
2	Lux	PROPN	1	flat
3	informoval	VERB	0	root
4	,	PUNCT	8	punct
5	že	SCONJ	8	mark
6	v	ADP	7	case
7	ČR	PROPN	8	obl
8	poklesly	VERB	3	ccomp
9	imise	NOUN	8	nsubj
10	oxidu	NOUN	9	nmod
11	síry	NOUN	10	nmod
12	do	ADP	13	case
13	ovzduší	NOUN	9	nmod
14	pod	ADP	17	case
15	700	NUM	17	nummod:gov
16	tisíc	NUM	17	nummod:gov
17	tun	NOUN	8	obl
18	(	PUNCT	25	punct
19	v	ADP	20	case
20	roce	NOUN	25	obl
21	1980	NUM	20	nummod
22	to	DET	25	nsubj
23	byl	AUX	25	cop
24	téměř	ADV	25	advmod:emph
25	milion	NOUN	8	parataxis
26	tun	NOUN	25	nmod
27	)	PUNCT	25	punct
28	a	CCONJ	38	cc
29	že	SCONJ	38	mark
30	až	PART	31	advmod:emph
31	40	NUM	32	nummod:gov
32	procent	NOUN	38	nsubj
33	imisní	ADJ	34	amod
34	zátěže	NOUN	32	nmod
35	ohrožující	ADJ	34	amod
36	zdraví	NOUN	35	obj
37	lesa	NOUN	36	nmod
38	má	VERB	8	conj
39	v	ADP	41	case
40	současné	ADJ	41	amod
41	době	NOUN	38	obl
42	původ	NOUN	38	obj
43	v	ADP	44	case
44	zahraničí	NOUN	38	obl
45	.	PUNCT	3	punct