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:
A few weeks ago, shuttle workers at the Kennedy Space Center received a rocket-like boost in morale with two important deliveries for the next shuttle to carry.
Postion	Tokenization
1	A
2	few
3	weeks
4	ago
5	,
6	shuttle
7	workers
8	at
9	the
10	Kennedy
11	Space
12	Center
13	received
14	a
15	rocket
16	-
17	like
18	boost
19	in
20	morale
21	with
22	two
23	important
24	deliveries
25	for
26	the
27	next
28	shuttle
29	to
30	carry
31	.
Position	Tokenization	UPOS	Head	Deprel
1	A	DET	3	det
2	few	ADJ	3	amod
3	weeks	NOUN	4	obl:npmod
4	ago	ADV	13	advmod
5	,	PUNCT	13	punct
6	shuttle	NOUN	7	compound
7	workers	NOUN	13	nsubj
8	at	ADP	12	case
9	the	DET	12	det
10	Kennedy	PROPN	12	compound
11	Space	PROPN	12	compound
12	Center	PROPN	7	nmod
13	received	VERB	0	root
14	a	DET	18	det
15	rocket	NOUN	17	obl:npmod
16	-	PUNCT	17	punct
17	like	ADJ	18	amod
18	boost	NOUN	13	obj
19	in	ADP	20	case
20	morale	NOUN	18	nmod
21	with	ADP	24	case
22	two	NUM	24	nummod
23	important	ADJ	24	amod
24	deliveries	NOUN	13	obl
25	for	SCONJ	30	mark
26	the	DET	28	det
27	next	ADJ	28	amod
28	shuttle	NOUN	30	nsubj
29	to	PART	30	mark
30	carry	VERB	24	acl
31	.	PUNCT	13	punct