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 am forwarding for your attention the resume of Peter Percell who has an extensive experience in modeling physical flows of natural gas in pipeline systems.
Postion	Tokenization
1	I
2	am
3	forwarding
4	for
5	your
6	attention
7	the
8	resume
9	of
10	Peter
11	Percell
12	who
13	has
14	an
15	extensive
16	experience
17	in
18	modeling
19	physical
20	flows
21	of
22	natural
23	gas
24	in
25	pipeline
26	systems
27	.
Position	Tokenization	UPOS	Head	Deprel
1	I	PRON	3	nsubj
2	am	AUX	3	aux
3	forwarding	VERB	0	root
4	for	ADP	6	case
5	your	PRON	6	nmod:poss
6	attention	NOUN	3	obl
7	the	DET	8	det
8	resume	NOUN	3	obj
9	of	ADP	10	case
10	Peter	PROPN	8	nmod
11	Percell	PROPN	10	flat
12	who	PRON	13	nsubj
13	has	VERB	10	acl:relcl
14	an	DET	16	det
15	extensive	ADJ	16	amod
16	experience	NOUN	13	obj
17	in	SCONJ	18	mark
18	modeling	VERB	16	acl
19	physical	ADJ	20	amod
20	flows	NOUN	18	obj
21	of	ADP	23	case
22	natural	ADJ	23	amod
23	gas	NOUN	20	nmod
24	in	ADP	26	case
25	pipeline	NOUN	26	compound
26	systems	NOUN	20	nmod
27	.	PUNCT	3	punct