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:
10 - Number of days that the Pentagon spent investigating a soldier who had called the President "a joke" in a letter to the editor of a Newspaper.
Postion	Tokenization
1	10
2	-
3	Number
4	of
5	days
6	that
7	the
8	Pentagon
9	spent
10	investigating
11	a
12	soldier
13	who
14	had
15	called
16	the
17	President
18	"
19	a
20	joke
21	"
22	in
23	a
24	letter
25	to
26	the
27	editor
28	of
29	a
30	Newspaper
31	.
Position	Tokenization	UPOS	Head	Deprel
1	10	NUM	0	root
2	-	PUNCT	1	punct
3	Number	NOUN	1	appos
4	of	ADP	5	case
5	days	NOUN	3	nmod
6	that	PRON	9	obj
7	the	DET	8	det
8	Pentagon	PROPN	9	nsubj
9	spent	VERB	5	acl:relcl
10	investigating	VERB	9	advcl
11	a	DET	12	det
12	soldier	NOUN	10	obj
13	who	PRON	15	nsubj
14	had	AUX	15	aux
15	called	VERB	12	acl:relcl
16	the	DET	17	det
17	President	NOUN	15	obj
18	"	PUNCT	20	punct
19	a	DET	20	det
20	joke	NOUN	15	xcomp
21	"	PUNCT	20	punct
22	in	ADP	24	case
23	a	DET	24	det
24	letter	NOUN	15	obl
25	to	ADP	27	case
26	the	DET	27	det
27	editor	NOUN	24	nmod
28	of	ADP	30	case
29	a	DET	30	det
30	Newspaper	NOUN	27	nmod
31	.	PUNCT	1	punct