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:
They interviewed me, gave me tests in the software I included on my resume, and placed me in a position that I kept for several years.
Postion	Tokenization
1	They
2	interviewed
3	me
4	,
5	gave
6	me
7	tests
8	in
9	the
10	software
11	I
12	included
13	on
14	my
15	resume
16	,
17	and
18	placed
19	me
20	in
21	a
22	position
23	that
24	I
25	kept
26	for
27	several
28	years
29	.
Position	Tokenization	UPOS	Head	Deprel
1	They	PRON	2	nsubj
2	interviewed	VERB	0	root
3	me	PRON	2	obj
4	,	PUNCT	5	punct
5	gave	VERB	2	conj
6	me	PRON	5	iobj
7	tests	NOUN	5	obj
8	in	ADP	10	case
9	the	DET	10	det
10	software	NOUN	7	nmod
11	I	PRON	12	nsubj
12	included	VERB	10	acl:relcl
13	on	ADP	15	case
14	my	PRON	15	nmod:poss
15	resume	NOUN	12	obl
16	,	PUNCT	18	punct
17	and	CCONJ	18	cc
18	placed	VERB	2	conj
19	me	PRON	18	obj
20	in	ADP	22	case
21	a	DET	22	det
22	position	NOUN	18	obl
23	that	PRON	25	obj
24	I	PRON	25	nsubj
25	kept	VERB	22	acl:relcl
26	for	ADP	28	case
27	several	ADJ	28	amod
28	years	NOUN	25	obl
29	.	PUNCT	2	punct