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:
The mangers also play a classic movies on Sundays, you can get a beer in the lobby, and repeat customers can get discounts if they have a member card.
Postion	Tokenization
1	The
2	mangers
3	also
4	play
5	a
6	classic
7	movies
8	on
9	Sundays
10	,
11	you
12	can
13	get
14	a
15	beer
16	in
17	the
18	lobby
19	,
20	and
21	repeat
22	customers
23	can
24	get
25	discounts
26	if
27	they
28	have
29	a
30	member
31	card
32	.
Position	Tokenization	UPOS	Head	Deprel
1	The	DET	2	det
2	mangers	NOUN	4	nsubj
3	also	ADV	4	advmod
4	play	VERB	0	root
5	a	DET	7	det
6	classic	ADJ	7	amod
7	movies	NOUN	4	obj
8	on	ADP	9	case
9	Sundays	PROPN	4	obl
10	,	PUNCT	4	punct
11	you	PRON	13	nsubj
12	can	AUX	13	aux
13	get	VERB	4	parataxis
14	a	DET	15	det
15	beer	NOUN	13	obj
16	in	ADP	18	case
17	the	DET	18	det
18	lobby	NOUN	13	obl
19	,	PUNCT	24	punct
20	and	CCONJ	24	cc
21	repeat	ADJ	22	amod
22	customers	NOUN	24	nsubj
23	can	AUX	24	aux
24	get	VERB	4	conj
25	discounts	NOUN	24	obj
26	if	SCONJ	28	mark
27	they	PRON	28	nsubj
28	have	VERB	24	advcl
29	a	DET	31	det
30	member	NOUN	31	compound
31	card	NOUN	28	obj
32	.	PUNCT	4	punct