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:
The place where I'm boarding is not likely to want to take me this far, and I do not have any ways of hauling him myself.
Postion	Tokenization
1	The
2	place
3	where
4	I'm
5	I
6	'm
7	boarding
8	is
9	not
10	likely
11	to
12	want
13	to
14	take
15	me
16	this
17	far
18	,
19	and
20	I
21	do
22	not
23	have
24	any
25	ways
26	of
27	hauling
28	him
29	myself
30	.
Position	Tokenization	UPOS	Head	Deprel
1	The	DET	2	det
2	place	NOUN	9	nsubj
3	where	SCONJ	6	mark
4	I'm	_	None	_
5	I	PRON	6	nsubj
6	'm	AUX	6	aux
7	boarding	VERB	2	acl:relcl
8	is	AUX	9	cop
9	not	PART	9	advmod
10	likely	ADJ	0	root
11	to	PART	11	mark
12	want	VERB	9	xcomp
13	to	PART	13	mark
14	take	VERB	11	xcomp
15	me	PRON	13	obj
16	this	ADV	16	advmod
17	far	ADV	13	advmod
18	,	PUNCT	22	punct
19	and	CCONJ	22	cc
20	I	PRON	22	nsubj
21	do	AUX	22	aux
22	not	PART	22	advmod
23	have	VERB	9	conj
24	any	DET	24	det
25	ways	NOUN	22	obj
26	of	SCONJ	26	mark
27	hauling	VERB	24	acl
28	him	PRON	26	obj
29	myself	PRON	26	obl:npmod
30	.	PUNCT	9	punct