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:
We are much safer today on board ship due to SOLAS, and I suppose if any good came out of the Titanic tragedy, the adoption of SOLAS is probably it.
Postion	Tokenization
1	We
2	are
3	much
4	safer
5	today
6	on
7	board
8	ship
9	due
10	to
11	SOLAS
12	,
13	and
14	I
15	suppose
16	if
17	any
18	good
19	came
20	out
21	of
22	the
23	Titanic
24	tragedy
25	,
26	the
27	adoption
28	of
29	SOLAS
30	is
31	probably
32	it
33	.
Position	Tokenization	UPOS	Head	Deprel
1	We	PRON	4	nsubj
2	are	AUX	4	cop
3	much	ADV	4	advmod
4	safer	ADJ	0	root
5	today	NOUN	4	obl:tmod
6	on	ADP	4	obl
7	board	ADP	8	case
8	ship	NOUN	6	advmod
9	due	ADP	11	case
10	to	ADP	9	fixed
11	SOLAS	PROPN	4	obl
12	,	PUNCT	15	punct
13	and	CCONJ	15	cc
14	I	PRON	15	nsubj
15	suppose	VERB	4	conj
16	if	SCONJ	19	mark
17	any	DET	18	det
18	good	ADJ	19	nsubj
19	came	VERB	32	advcl
20	out	ADP	24	case
21	of	ADP	24	case
22	the	DET	24	det
23	Titanic	PROPN	24	compound
24	tragedy	NOUN	19	obl
25	,	PUNCT	32	punct
26	the	DET	27	det
27	adoption	NOUN	32	nsubj
28	of	ADP	29	case
29	SOLAS	PROPN	27	nmod
30	is	AUX	32	cop
31	probably	ADV	32	advmod
32	it	PRON	15	ccomp
33	.	PUNCT	4	punct