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 is very professional in his position as a director and yet he still made time to be compassionate for what we were all going through.
Postion	Tokenization
1	He
2	is
3	very
4	professional
5	in
6	his
7	position
8	as
9	a
10	director
11	and
12	yet
13	he
14	still
15	made
16	time
17	to
18	be
19	compassionate
20	for
21	what
22	we
23	were
24	all
25	going
26	through
27	.
Position	Tokenization	UPOS	Head	Deprel
1	He	PRON	4	nsubj
2	is	AUX	4	cop
3	very	ADV	4	advmod
4	professional	ADJ	0	root
5	in	ADP	7	case
6	his	PRON	7	nmod:poss
7	position	NOUN	4	obl
8	as	ADP	10	case
9	a	DET	10	det
10	director	NOUN	7	nmod
11	and	CCONJ	12	cc
12	yet	CCONJ	15	cc
13	he	PRON	15	nsubj
14	still	ADV	15	advmod
15	made	VERB	4	conj
16	time	NOUN	15	obj
17	to	PART	19	mark
18	be	AUX	19	cop
19	compassionate	ADJ	16	acl
20	for	SCONJ	21	case
21	what	PRON	19	obl
22	we	PRON	25	nsubj
23	were	AUX	25	aux
24	all	ADV	25	advmod
25	going	VERB	21	acl:relcl
26	through	ADP	25	obl
27	.	PUNCT	4	punct