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:
U.S. industrialist Andrew Carnegie started a hero fund in 1904 after being inspired by rescue stories from a mine disaster that killed 181 people.
Postion	Tokenization
1	U.S.
2	industrialist
3	Andrew
4	Carnegie
5	started
6	a
7	hero
8	fund
9	in
10	1904
11	after
12	being
13	inspired
14	by
15	rescue
16	stories
17	from
18	a
19	mine
20	disaster
21	that
22	killed
23	181
24	people
25	.
Position	Tokenization	UPOS	Head	Deprel
1	U.S.	PROPN	2	compound
2	industrialist	NOUN	3	compound
3	Andrew	PROPN	5	nsubj
4	Carnegie	PROPN	3	flat
5	started	VERB	0	root
6	a	DET	8	det
7	hero	NOUN	8	compound
8	fund	NOUN	5	obj
9	in	ADP	10	case
10	1904	NUM	5	obl
11	after	SCONJ	13	mark
12	being	AUX	13	aux:pass
13	inspired	VERB	5	advcl
14	by	ADP	16	case
15	rescue	NOUN	16	compound
16	stories	NOUN	13	obl
17	from	ADP	20	case
18	a	DET	20	det
19	mine	NOUN	20	compound
20	disaster	NOUN	16	nmod
21	that	PRON	22	nsubj
22	killed	VERB	20	acl:relcl
23	181	NUM	24	nummod
24	people	NOUN	22	obj
25	.	PUNCT	5	punct