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 only reason I switched away from them in the first place is because my good friend who apprenticed with them was starting out on his own.
Postion	Tokenization
1	The
2	only
3	reason
4	I
5	switched
6	away
7	from
8	them
9	in
10	the
11	first
12	place
13	is
14	because
15	my
16	good
17	friend
18	who
19	apprenticed
20	with
21	them
22	was
23	starting
24	out
25	on
26	his
27	own
28	.
Position	Tokenization	UPOS	Head	Deprel
1	The	DET	3	det
2	only	ADJ	3	amod
3	reason	NOUN	13	nsubj
4	I	PRON	5	nsubj
5	switched	VERB	3	acl:relcl
6	away	ADV	5	advmod
7	from	ADP	8	case
8	them	PRON	6	obl
9	in	ADP	12	case
10	the	DET	12	det
11	first	ADJ	12	amod
12	place	NOUN	5	obl
13	is	VERB	0	root
14	because	SCONJ	23	mark
15	my	PRON	17	nmod:poss
16	good	ADJ	17	amod
17	friend	NOUN	23	nsubj
18	who	PRON	19	nsubj
19	apprenticed	VERB	17	acl:relcl
20	with	ADP	21	case
21	them	PRON	19	obl
22	was	AUX	23	aux
23	starting	VERB	13	ccomp
24	out	ADP	23	compound:prt
25	on	ADP	27	case
26	his	PRON	27	nmod:poss
27	own	ADJ	23	obl
28	.	PUNCT	13	punct