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:
Dave is a patient and methodical teacher, who has a great ear and sensitivity for his students' passion and the direction they want their lessons to take.
Postion	Tokenization
1	Dave
2	is
3	a
4	patient
5	and
6	methodical
7	teacher
8	,
9	who
10	has
11	a
12	great
13	ear
14	and
15	sensitivity
16	for
17	his
18	students
19	'
20	passion
21	and
22	the
23	direction
24	they
25	want
26	their
27	lessons
28	to
29	take
30	.
Position	Tokenization	UPOS	Head	Deprel
1	Dave	PROPN	7	nsubj
2	is	AUX	7	cop
3	a	DET	7	det
4	patient	ADJ	7	amod
5	and	CCONJ	6	cc
6	methodical	ADJ	4	conj
7	teacher	NOUN	0	root
8	,	PUNCT	7	punct
9	who	PRON	10	nsubj
10	has	VERB	7	acl:relcl
11	a	DET	13	det
12	great	ADJ	13	amod
13	ear	NOUN	10	obj
14	and	CCONJ	15	cc
15	sensitivity	NOUN	13	conj
16	for	ADP	20	case
17	his	PRON	18	nmod:poss
18	students	NOUN	20	nmod:poss
19	'	PART	18	case
20	passion	NOUN	15	nmod
21	and	CCONJ	23	cc
22	the	DET	23	det
23	direction	NOUN	20	conj
24	they	PRON	25	nsubj
25	want	VERB	23	acl:relcl
26	their	PRON	27	nmod:poss
27	lessons	NOUN	25	obj
28	to	PART	29	mark
29	take	VERB	25	xcomp
30	.	PUNCT	7	punct