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:
Seeing another "Columbia" incident can be quite frightening (I woke up to it early in the morning when I was in Texas).
Postion	Tokenization
1	Seeing
2	another
3	"
4	Columbia
5	"
6	incident
7	can
8	be
9	quite
10	frightening
11	(
12	I
13	woke
14	up
15	to
16	it
17	early
18	in
19	the
20	morning
21	when
22	I
23	was
24	in
25	Texas
26	)
27	.
Position	Tokenization	UPOS	Head	Deprel
1	Seeing	VERB	10	csubj
2	another	DET	6	det
3	"	PUNCT	6	punct
4	Columbia	PROPN	6	compound
5	"	PUNCT	6	punct
6	incident	NOUN	1	obj
7	can	AUX	10	aux
8	be	AUX	10	cop
9	quite	ADV	10	advmod
10	frightening	ADJ	0	root
11	(	PUNCT	13	punct
12	I	PRON	13	nsubj
13	woke	VERB	10	parataxis
14	up	ADP	13	compound:prt
15	to	ADP	16	case
16	it	PRON	13	obl
17	early	ADV	20	advmod
18	in	ADP	20	case
19	the	DET	20	det
20	morning	NOUN	13	obl
21	when	SCONJ	25	mark
22	I	PRON	25	nsubj
23	was	AUX	25	cop
24	in	ADP	25	case
25	Texas	PROPN	13	advcl
26	)	PUNCT	13	punct
27	.	PUNCT	10	punct