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:
For better or worse, all the folks under the heading "Origination" and "Development" are ours, although Kathleen has a special role with Development.
Postion	Tokenization
1	For
2	better
3	or
4	worse
5	,
6	all
7	the
8	folks
9	under
10	the
11	heading
12	"
13	Origination
14	"
15	and
16	"
17	Development
18	"
19	are
20	ours
21	,
22	although
23	Kathleen
24	has
25	a
26	special
27	role
28	with
29	Development
30	.
Position	Tokenization	UPOS	Head	Deprel
1	For	ADP	2	case
2	better	ADJ	20	obl
3	or	CCONJ	4	cc
4	worse	ADJ	2	conj
5	,	PUNCT	20	punct
6	all	DET	8	det:predet
7	the	DET	8	det
8	folks	NOUN	20	nsubj
9	under	ADP	11	case
10	the	DET	11	det
11	heading	NOUN	8	nmod
12	"	PUNCT	13	punct
13	Origination	NOUN	11	appos
14	"	PUNCT	13	punct
15	and	CCONJ	17	cc
16	"	PUNCT	17	punct
17	Development	NOUN	13	conj
18	"	PUNCT	17	punct
19	are	AUX	20	cop
20	ours	PRON	0	root
21	,	PUNCT	20	punct
22	although	SCONJ	24	mark
23	Kathleen	PROPN	24	nsubj
24	has	VERB	20	advcl
25	a	DET	27	det
26	special	ADJ	27	amod
27	role	NOUN	24	obj
28	with	ADP	29	case
29	Development	NOUN	27	nmod
30	.	PUNCT	20	punct