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:
I have extensive experience as a technical leader in the design and development of modeling and simulation software products, mostly for the oil and gas pipeline industry.
Postion	Tokenization
1	I
2	have
3	extensive
4	experience
5	as
6	a
7	technical
8	leader
9	in
10	the
11	design
12	and
13	development
14	of
15	modeling
16	and
17	simulation
18	software
19	products
20	,
21	mostly
22	for
23	the
24	oil
25	and
26	gas
27	pipeline
28	industry
29	.
Position	Tokenization	UPOS	Head	Deprel
1	I	PRON	2	nsubj
2	have	VERB	0	root
3	extensive	ADJ	4	amod
4	experience	NOUN	2	obj
5	as	ADP	8	case
6	a	DET	8	det
7	technical	ADJ	8	amod
8	leader	NOUN	4	nmod
9	in	ADP	11	case
10	the	DET	11	det
11	design	NOUN	4	nmod
12	and	CCONJ	13	cc
13	development	NOUN	11	conj
14	of	ADP	19	case
15	modeling	NOUN	18	compound
16	and	CCONJ	17	cc
17	simulation	NOUN	15	conj
18	software	NOUN	19	compound
19	products	NOUN	11	nmod
20	,	PUNCT	19	punct
21	mostly	ADV	28	advmod
22	for	ADP	28	case
23	the	DET	28	det
24	oil	NOUN	27	compound
25	and	CCONJ	26	cc
26	gas	NOUN	24	conj
27	pipeline	NOUN	28	compound
28	industry	NOUN	19	nmod
29	.	PUNCT	2	punct