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:
I gave the woman I spoke with today a "You've been yelped!" card to let her know that Yelp may be a good tool for helping spreading the word about Papeluna.
Postion	Tokenization
1	I
2	gave
3	the
4	woman
5	I
6	spoke
7	with
8	today
9	a
10	"
11	You
12	've
13	been
14	yelped
15	!
16	"
17	card
18	to
19	let
20	her
21	know
22	that
23	Yelp
24	may
25	be
26	a
27	good
28	tool
29	for
30	helping
31	spreading
32	the
33	word
34	about
35	Papeluna
36	.
Position	Tokenization	UPOS	Head	Deprel
1	I	PRON	2	nsubj
2	gave	VERB	0	root
3	the	DET	4	det
4	woman	NOUN	2	iobj
5	I	PRON	6	nsubj
6	spoke	VERB	4	acl:relcl
7	with	ADP	6	obl
8	today	NOUN	6	obl:tmod
9	a	DET	17	det
10	"	PUNCT	14	punct
11	You	PRON	14	nsubj:pass
12	've	AUX	14	aux
13	been	AUX	14	aux:pass
14	yelped	VERB	17	compound
15	!	PUNCT	14	punct
16	"	PUNCT	14	punct
17	card	NOUN	2	obj
18	to	PART	19	mark
19	let	VERB	2	advcl
20	her	PRON	19	obj
21	know	VERB	19	xcomp
22	that	SCONJ	28	mark
23	Yelp	PROPN	28	nsubj
24	may	AUX	28	aux
25	be	AUX	28	cop
26	a	DET	28	det
27	good	ADJ	28	amod
28	tool	NOUN	21	ccomp
29	for	SCONJ	30	mark
30	helping	VERB	28	acl
31	spreading	VERB	30	xcomp
32	the	DET	33	det
33	word	NOUN	31	obj
34	about	ADP	35	case
35	Papeluna	PROPN	33	nmod
36	.	PUNCT	2	punct