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:
As a previous Internet Manager I would deal with anyone looking to buy a car for a profit and not care if they came in with a broker.
Postion	Tokenization
1	As
2	a
3	previous
4	Internet
5	Manager
6	I
7	would
8	deal
9	with
10	anyone
11	looking
12	to
13	buy
14	a
15	car
16	for
17	a
18	profit
19	and
20	not
21	care
22	if
23	they
24	came
25	in
26	with
27	a
28	broker
29	.
Position	Tokenization	UPOS	Head	Deprel
1	As	ADP	5	case
2	a	DET	5	det
3	previous	ADJ	5	amod
4	Internet	NOUN	5	compound
5	Manager	NOUN	8	obl
6	I	PRON	8	nsubj
7	would	AUX	8	aux
8	deal	VERB	0	root
9	with	ADP	10	case
10	anyone	PRON	8	obl
11	looking	VERB	10	acl
12	to	PART	13	mark
13	buy	VERB	11	xcomp
14	a	DET	15	det
15	car	NOUN	13	obj
16	for	ADP	18	case
17	a	DET	18	det
18	profit	NOUN	13	obl
19	and	CCONJ	21	cc
20	not	ADV	21	advmod
21	care	VERB	8	conj
22	if	SCONJ	24	mark
23	they	PRON	24	nsubj
24	came	VERB	21	advcl
25	in	ADV	24	advmod
26	with	ADP	28	case
27	a	DET	28	det
28	broker	NOUN	24	obl
29	.	PUNCT	8	punct