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:
me and my dad where in NJ for a kc chiefs(my home team)vs the NY jets and for game 4 of the world series.
Postion	Tokenization
1	me
2	and
3	my
4	dad
5	where
6	in
7	NJ
8	for
9	a
10	kc
11	chiefs
12	(
13	my
14	home
15	team
16	)
17	vs
18	the
19	NY
20	jets
21	and
22	for
23	game
24	4
25	of
26	the
27	world
28	series
29	.
Position	Tokenization	UPOS	Head	Deprel
1	me	PRON	5	nsubj
2	and	CCONJ	4	cc
3	my	PRON	4	nmod:poss
4	dad	NOUN	1	conj
5	where	VERB	0	root
6	in	ADP	7	case
7	NJ	PROPN	5	obl
8	for	ADP	11	case
9	a	DET	11	det
10	kc	PROPN	11	compound
11	chiefs	PROPN	5	obl
12	(	PUNCT	15	punct
13	my	PRON	15	nmod:poss
14	home	NOUN	15	compound
15	team	NOUN	11	appos
16	)	PUNCT	15	punct
17	vs	ADP	20	case
18	the	DET	20	det
19	NY	PROPN	20	compound
20	jets	PROPN	11	nmod
21	and	CCONJ	23	cc
22	for	ADP	23	case
23	game	NOUN	11	conj
24	4	NUM	23	nummod
25	of	ADP	28	case
26	the	DET	28	det
27	world	NOUN	28	compound
28	series	NOUN	23	nmod
29	.	PUNCT	5	punct