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've thought about you a few times in the last few months, didn't want to intrude upon an already bad situation with my bullshit questions.
Postion	Tokenization
1	I've
2	I
3	've
4	thought
5	about
6	you
7	a
8	few
9	times
10	in
11	the
12	last
13	few
14	months
15	,
16	didn't
17	did
18	n't
19	want
20	to
21	intrude
22	upon
23	an
24	already
25	bad
26	situation
27	with
28	my
29	bullshit
30	questions
31	.
Position	Tokenization	UPOS	Head	Deprel
1	I've	_	None	_
2	I	PRON	3	nsubj
3	've	AUX	3	aux
4	thought	VERB	0	root
5	about	ADP	5	case
6	you	PRON	3	obl
7	a	DET	8	det
8	few	ADJ	8	amod
9	times	NOUN	3	obl:tmod
10	in	ADP	13	case
11	the	DET	13	det
12	last	ADJ	13	amod
13	few	ADJ	13	amod
14	months	NOUN	3	obl
15	,	PUNCT	17	punct
16	didn't	_	None	_
17	did	AUX	17	aux
18	n't	PART	17	advmod
19	want	VERB	3	conj
20	to	PART	19	mark
21	intrude	VERB	17	xcomp
22	upon	ADP	24	case
23	an	DET	24	det
24	already	ADV	23	advmod
25	bad	ADJ	24	amod
26	situation	NOUN	19	obl
27	with	ADP	28	case
28	my	PRON	28	nmod:poss
29	bullshit	NOUN	28	compound
30	questions	NOUN	19	obl
31	.	PUNCT	3	punct