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:
Fresh Design Studio helped jump-start my own business by providing affordable and effective marketing materials: logo, flyers, posters ad design, and more.
Postion	Tokenization
1	Fresh
2	Design
3	Studio
4	helped
5	jump
6	-
7	start
8	my
9	own
10	business
11	by
12	providing
13	affordable
14	and
15	effective
16	marketing
17	materials
18	:
19	logo
20	,
21	flyers
22	,
23	posters
24	ad
25	design
26	,
27	and
28	more
29	.
Position	Tokenization	UPOS	Head	Deprel
1	Fresh	PROPN	2	compound
2	Design	PROPN	3	compound
3	Studio	PROPN	4	nsubj
4	helped	VERB	0	root
5	jump	NOUN	7	compound
6	-	PUNCT	7	punct
7	start	VERB	4	xcomp
8	my	PRON	10	nmod:poss
9	own	ADJ	10	amod
10	business	NOUN	7	obj
11	by	SCONJ	12	mark
12	providing	VERB	4	advcl
13	affordable	ADJ	17	amod
14	and	CCONJ	15	cc
15	effective	ADJ	13	conj
16	marketing	NOUN	17	compound
17	materials	NOUN	12	obj
18	:	PUNCT	17	punct
19	logo	NOUN	17	appos
20	,	PUNCT	21	punct
21	flyers	NOUN	19	conj
22	,	PUNCT	25	punct
23	posters	NOUN	24	compound
24	ad	NOUN	25	compound
25	design	NOUN	19	conj
26	,	PUNCT	28	punct
27	and	CCONJ	28	cc
28	more	ADJ	19	conj
29	.	PUNCT	4	punct