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:
However, as you will see, the questions I thought of got kinda long- but I think we need answers for all of them.
Postion	Tokenization
1	However
2	,
3	as
4	you
5	will
6	see
7	,
8	the
9	questions
10	I
11	thought
12	of
13	got
14	kinda
15	long
16	-
17	but
18	I
19	think
20	we
21	need
22	answers
23	for
24	all
25	of
26	them
27	.
Position	Tokenization	UPOS	Head	Deprel
1	However	ADV	13	advmod
2	,	PUNCT	13	punct
3	as	SCONJ	6	mark
4	you	PRON	6	nsubj
5	will	AUX	6	aux
6	see	VERB	13	advcl
7	,	PUNCT	13	punct
8	the	DET	9	det
9	questions	NOUN	13	nsubj
10	I	PRON	11	nsubj
11	thought	VERB	9	acl:relcl
12	of	ADP	11	obl
13	got	VERB	0	root
14	kinda	ADV	13	advmod
15	long	ADJ	13	xcomp
16	-	PUNCT	15	punct
17	but	CCONJ	19	cc
18	I	PRON	19	nsubj
19	think	VERB	15	conj
20	we	PRON	21	nsubj
21	need	VERB	19	ccomp
22	answers	NOUN	21	obj
23	for	ADP	24	case
24	all	DET	22	nmod
25	of	ADP	26	case
26	them	PRON	24	nmod
27	.	PUNCT	15	punct