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:
HCC's new nine was a little shaky at first, but the NEW grounds superintendant has done wonders for the course!!
Postion	Tokenization
1	HCC's
2	HCC
3	's
4	new
5	nine
6	was
7	a
8	little
9	shaky
10	at
11	first
12	,
13	but
14	the
15	NEW
16	grounds
17	superintendant
18	has
19	done
20	wonders
21	for
22	the
23	course
24	!!
Position	Tokenization	UPOS	Head	Deprel
1	HCC's	_	None	_
2	HCC	PROPN	4	nmod:poss
3	's	PART	1	case
4	new	ADJ	4	amod
5	nine	NUM	8	nsubj
6	was	AUX	8	cop
7	a	DET	7	det
8	little	ADJ	8	advmod
9	shaky	ADJ	0	root
10	at	ADV	10	advmod
11	first	ADV	8	advmod
12	,	PUNCT	18	punct
13	but	CCONJ	18	cc
14	the	DET	16	det
15	NEW	ADJ	16	amod
16	grounds	NOUN	16	compound
17	superintendant	NOUN	18	nsubj
18	has	AUX	18	aux
19	done	VERB	8	conj
20	wonders	NOUN	18	obj
21	for	ADP	22	case
22	the	DET	22	det
23	course	NOUN	19	nmod
24	!!	PUNCT	8	punct