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:
It was the young Texan's job to find out what each county leader needed in the way of campaign supplies and get those supplies to them.
Postion	Tokenization
1	It
2	was
3	the
4	young
5	Texan's
6	Texan
7	's
8	job
9	to
10	find
11	out
12	what
13	each
14	county
15	leader
16	needed
17	in
18	the
19	way
20	of
21	campaign
22	supplies
23	and
24	get
25	those
26	supplies
27	to
28	them
29	.
Position	Tokenization	UPOS	Head	Deprel
1	It	PRON	7	expl
2	was	AUX	7	cop
3	the	DET	5	det
4	young	ADJ	5	amod
5	Texan's	_	None	_
6	Texan	PROPN	7	nmod:poss
7	's	PART	5	case
8	job	NOUN	0	root
9	to	PART	9	mark
10	find	VERB	7	csubj
11	out	ADP	9	compound:prt
12	what	PRON	15	obj
13	each	DET	14	det
14	county	NOUN	14	compound
15	leader	NOUN	15	nsubj
16	needed	VERB	9	ccomp
17	in	ADP	18	case
18	the	DET	18	det
19	way	NOUN	15	obl
20	of	ADP	21	case
21	campaign	NOUN	21	compound
22	supplies	NOUN	18	nmod
23	and	CCONJ	23	cc
24	get	VERB	9	conj
25	those	DET	25	det
26	supplies	NOUN	23	obj
27	to	ADP	27	case
28	them	PRON	23	obl
29	.	PUNCT	7	punct