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 text: It has two parts, both of which are timed for 90 seconds each and the differential between the resulting two scores determines the likelihood of having a learning disability or attention deficit disorder.
Position	Tokenization	UPOS	Head	Deprel
1	It	PRON	2	nsubj
2	has	VERB	0	root
3	two	NUM	4	nummod
4	parts	NOUN	2	obj
5	,	PUNCT	4	punct
6	both	DET	10	nsubj:pass
7	of	ADP	8	case
8	which	PRON	6	nmod
9	are	AUX	10	aux:pass
10	timed	VERB	4	acl:relcl
11	for	ADP	13	case
12	90	NUM	13	nummod
13	seconds	NOUN	10	obl
14	each	DET	13	nmod:npmod
15	and	CCONJ	23	cc
16	the	DET	17	det
17	differential	NOUN	23	nsubj
18	between	ADP	22	case
19	the	DET	22	det
20	resulting	VERB	22	amod
21	two	NUM	22	nummod
22	scores	NOUN	17	nmod
23	determines	VERB	2	conj
24	the	DET	25	det
25	likelihood	NOUN	23	obj
26	of	SCONJ	27	mark
27	having	VERB	25	acl
28	a	DET	30	det
29	learning	NOUN	30	compound
30	disability	NOUN	27	obj
31	or	CCONJ	34	cc
32	attention	NOUN	33	compound
33	deficit	NOUN	34	compound
34	disorder	NOUN	30	conj
35	.	PUNCT	2	punct