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: Slovy "paměť diváků trvá" zakončil Martin J. Švejda svůj sloupek o derniéře poslední inscenace Jana Grossmana, Kafkově brku v Divadle Na zábradlí (Loučení velkého muže, LN 2. 2. 1995).
Position	Tokenization	UPOS	Head	Deprel
1	Slovy	NOUN	7	obl
2	"	PUNCT	5	punct
3	paměť	NOUN	5	nsubj
4	diváků	NOUN	3	nmod
5	trvá	VERB	1	acl
6	"	PUNCT	5	punct
7	zakončil	VERB	0	root
8	Martin	PROPN	7	nsubj
9	J	PROPN	8	flat
10	.	PUNCT	9	punct
11	Švejda	PROPN	8	flat
12	svůj	DET	13	det
13	sloupek	NOUN	7	obj
14	o	ADP	15	case
15	derniéře	NOUN	13	nmod
16	poslední	ADJ	17	amod
17	inscenace	NOUN	15	nmod
18	Jana	PROPN	17	nmod
19	Grossmana	PROPN	18	flat
20	,	PUNCT	22	punct
21	Kafkově	ADJ	22	amod
22	brku	NOUN	15	appos
23	v	ADP	24	case
24	Divadle	NOUN	15	nmod
25	Na	ADP	26	case
26	zábradlí	NOUN	24	nmod
27	(	PUNCT	28	punct
28	Loučení	NOUN	13	nmod
29	velkého	ADJ	30	amod
30	muže	NOUN	28	nmod
31	,	PUNCT	32	punct
32	LN	PROPN	28	nmod
33	2	NUM	35	compound
34	.	PUNCT	33	punct
35	2	NUM	32	nummod
36	.	PUNCT	35	punct
37	1995	NUM	35	compound
38	)	PUNCT	28	punct
39	.	PUNCT	7	punct