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:
Claude Mandil, the executive director of the International Energy Agency in Paris, said the reserves in the East China Sea were hardly worth the trouble.
Postion	Tokenization
1	Claude
2	Mandil
3	,
4	the
5	executive
6	director
7	of
8	the
9	International
10	Energy
11	Agency
12	in
13	Paris
14	,
15	said
16	the
17	reserves
18	in
19	the
20	East
21	China
22	Sea
23	were
24	hardly
25	worth
26	the
27	trouble
28	.
Position	Tokenization	UPOS	Head	Deprel
1	Claude	PROPN	15	nsubj
2	Mandil	PROPN	1	flat
3	,	PUNCT	1	punct
4	the	DET	6	det
5	executive	ADJ	6	amod
6	director	NOUN	1	appos
7	of	ADP	11	case
8	the	DET	11	det
9	International	PROPN	11	compound
10	Energy	PROPN	11	compound
11	Agency	PROPN	6	nmod
12	in	ADP	13	case
13	Paris	PROPN	11	nmod
14	,	PUNCT	15	punct
15	said	VERB	0	root
16	the	DET	17	det
17	reserves	NOUN	25	nsubj
18	in	ADP	22	case
19	the	DET	22	det
20	East	PROPN	22	compound
21	China	PROPN	22	compound
22	Sea	PROPN	17	nmod
23	were	AUX	25	cop
24	hardly	ADV	25	advmod
25	worth	ADJ	15	ccomp
26	the	DET	27	det
27	trouble	NOUN	25	obj
28	.	PUNCT	15	punct