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:
He also ordered that the receiver not get a (I think chrome) coating that helped keep the gun from jamming.
Postion	Tokenization
1	He
2	also
3	ordered
4	that
5	the
6	receiver
7	not
8	get
9	a
10	(
11	I
12	think
13	chrome
14	)
15	coating
16	that
17	helped
18	keep
19	the
20	gun
21	from
22	jamming
23	.
Position	Tokenization	UPOS	Head	Deprel
1	He	PRON	3	nsubj
2	also	ADV	3	advmod
3	ordered	VERB	0	root
4	that	SCONJ	8	mark
5	the	DET	6	det
6	receiver	NOUN	8	nsubj
7	not	ADV	8	advmod
8	get	VERB	3	ccomp
9	a	DET	15	det
10	(	PUNCT	12	punct
11	I	PRON	12	nsubj
12	think	VERB	15	parataxis
13	chrome	NOUN	12	obj
14	)	PUNCT	12	punct
15	coating	NOUN	8	obj
16	that	PRON	17	nsubj
17	helped	VERB	8	acl:relcl
18	keep	VERB	17	ccomp
19	the	DET	20	det
20	gun	NOUN	18	obj
21	from	SCONJ	22	mark
22	jamming	VERB	18	advcl
23	.	PUNCT	3	punct