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 like to imagine the thought processes going on in W's head if he were to actually read the letter, but it is hard to picture him actually reading this letter.
Postion	Tokenization
1	I
2	like
3	to
4	imagine
5	the
6	thought
7	processes
8	going
9	on
10	in
11	W's
12	W
13	's
14	head
15	if
16	he
17	were
18	to
19	actually
20	read
21	the
22	letter
23	,
24	but
25	it
26	is
27	hard
28	to
29	picture
30	him
31	actually
32	reading
33	this
34	letter
35	.
Position	Tokenization	UPOS	Head	Deprel
1	I	PRON	2	nsubj
2	like	VERB	0	root
3	to	PART	4	mark
4	imagine	VERB	2	xcomp
5	the	DET	7	det
6	thought	NOUN	7	compound
7	processes	NOUN	4	obj
8	going	VERB	7	acl
9	on	ADP	8	compound:prt
10	in	ADP	13	case
11	W's	_	None	_
12	W	PROPN	13	nmod:poss
13	's	PART	11	case
14	head	NOUN	8	obl
15	if	SCONJ	16	mark
16	he	PRON	16	nsubj
17	were	VERB	8	advcl
18	to	PART	19	mark
19	actually	ADV	19	advmod
20	read	VERB	16	xcomp
21	the	DET	21	det
22	letter	NOUN	19	obj
23	,	PUNCT	26	punct
24	but	CCONJ	26	cc
25	it	PRON	26	expl
26	is	AUX	26	cop
27	hard	ADJ	2	conj
28	to	PART	28	mark
29	picture	VERB	26	csubj
30	him	PRON	28	obj
31	actually	ADV	31	advmod
32	reading	VERB	28	xcomp
33	this	DET	33	det
34	letter	NOUN	31	obj
35	.	PUNCT	2	punct