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:
She had her cards memorized as well as everyone elses (when you play you'll see why you can know everyone elses hands!).
Postion	Tokenization
1	She
2	had
3	her
4	cards
5	memorized
6	as
7	well
8	as
9	everyone
10	elses
11	else
12	s
13	(
14	when
15	you
16	play
17	you'll
18	you
19	'll
20	see
21	why
22	you
23	can
24	know
25	everyone
26	elses
27	else
28	s
29	hands
30	!
31	)
32	.
Position	Tokenization	UPOS	Head	Deprel
1	She	PRON	2	nsubj
2	had	VERB	0	root
3	her	PRON	4	nmod:poss
4	cards	NOUN	5	nsubj
5	memorized	VERB	2	ccomp
6	as	ADV	9	cc
7	well	ADV	6	fixed
8	as	ADP	6	fixed
9	everyone	PRON	3	conj
10	elses	_	None	_
11	else	ADJ	9	amod
12	s	PART	9	case
13	(	PUNCT	2	punct
14	when	SCONJ	15	mark
15	you	PRON	15	nsubj
16	play	VERB	18	advcl
17	you'll	_	None	_
18	you	PRON	18	nsubj
19	'll	AUX	18	aux
20	see	VERB	2	ccomp
21	why	SCONJ	22	mark
22	you	PRON	22	nsubj
23	can	AUX	22	aux
24	know	VERB	18	advcl
25	everyone	PRON	26	nmod:poss
26	elses	_	None	_
27	else	ADJ	23	amod
28	s	PART	23	case
29	hands	NOUN	22	obj
30	!	PUNCT	2	punct
31	)	PUNCT	2	punct
32	.	PUNCT	2	punct