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:
Yes things like philosophy and fashion design are interesting, but how many jobs are out there for someone with these qualifications?
Postion	Tokenization
1	Yes
2	things
3	like
4	philosophy
5	and
6	fashion
7	design
8	are
9	interesting
10	,
11	but
12	how
13	many
14	jobs
15	are
16	out
17	there
18	for
19	someone
20	with
21	these
22	qualifications
23	?
Position	Tokenization	UPOS	Head	Deprel
1	Yes	INTJ	9	discourse
2	things	NOUN	9	nsubj
3	like	ADP	4	case
4	philosophy	NOUN	2	nmod
5	and	CCONJ	7	cc
6	fashion	NOUN	7	compound
7	design	NOUN	4	conj
8	are	AUX	9	cop
9	interesting	ADJ	0	root
10	,	PUNCT	17	punct
11	but	CCONJ	17	cc
12	how	ADV	13	advmod
13	many	ADJ	14	amod
14	jobs	NOUN	17	nsubj
15	are	AUX	17	cop
16	out	ADV	17	advmod
17	there	ADV	9	conj
18	for	ADP	19	case
19	someone	PRON	17	obl
20	with	ADP	22	case
21	these	DET	22	det
22	qualifications	NOUN	19	nmod
23	?	PUNCT	9	punct