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 price was actually lower than what I had anticipated and used to compared to other places, plus he showed me the work he did when I came into pick up the car.
Postion	Tokenization
1	The
2	price
3	was
4	actually
5	lower
6	than
7	what
8	I
9	had
10	anticipated
11	and
12	used
13	to
14	compared
15	to
16	other
17	places
18	,
19	plus
20	he
21	showed
22	me
23	the
24	work
25	he
26	did
27	when
28	I
29	came
30	in
31	to
32	pick
33	up
34	the
35	car
36	.
Position	Tokenization	UPOS	Head	Deprel
1	The	DET	2	det
2	price	NOUN	5	nsubj
3	was	AUX	5	cop
4	actually	ADV	5	advmod
5	lower	ADJ	0	root
6	than	SCONJ	7	case
7	what	PRON	5	obl
8	I	PRON	10	nsubj
9	had	AUX	10	aux
10	anticipated	VERB	7	acl:relcl
11	and	CCONJ	12	cc
12	used	VERB	10	conj
13	to	ADP	14	aux
14	compared	VERB	12	xcomp
15	to	ADP	17	case
16	other	ADJ	17	amod
17	places	NOUN	14	obl
18	,	PUNCT	21	punct
19	plus	CCONJ	21	cc
20	he	PRON	21	nsubj
21	showed	VERB	5	conj
22	me	PRON	21	iobj
23	the	DET	24	det
24	work	NOUN	21	obj
25	he	PRON	26	nsubj
26	did	VERB	24	acl:relcl
27	when	SCONJ	29	mark
28	I	PRON	29	nsubj
29	came	VERB	21	advcl
30	in	ADV	29	advmod
31	to	PART	32	mark
32	pick	VERB	29	advcl
33	up	ADP	32	compound:prt
34	the	DET	35	det
35	car	NOUN	32	obj
36	.	PUNCT	5	punct