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:
China is seeking the construction of a pipeline from Iran to the Caspian Sea, where it would link with another planned pipeline running from Kazakhstan to China.
Postion	Tokenization
1	China
2	is
3	seeking
4	the
5	construction
6	of
7	a
8	pipeline
9	from
10	Iran
11	to
12	the
13	Caspian
14	Sea
15	,
16	where
17	it
18	would
19	link
20	with
21	another
22	planned
23	pipeline
24	running
25	from
26	Kazakhstan
27	to
28	China
29	.
Position	Tokenization	UPOS	Head	Deprel
1	China	PROPN	3	nsubj
2	is	AUX	3	aux
3	seeking	VERB	0	root
4	the	DET	5	det
5	construction	NOUN	3	obj
6	of	ADP	8	case
7	a	DET	8	det
8	pipeline	NOUN	5	nmod
9	from	ADP	10	case
10	Iran	PROPN	8	nmod
11	to	ADP	14	case
12	the	DET	14	det
13	Caspian	PROPN	14	compound
14	Sea	PROPN	8	nmod
15	,	PUNCT	14	punct
16	where	SCONJ	19	mark
17	it	PRON	19	nsubj
18	would	AUX	19	aux
19	link	VERB	14	acl:relcl
20	with	ADP	23	case
21	another	DET	23	det
22	planned	VERB	23	amod
23	pipeline	NOUN	19	obl
24	running	VERB	23	acl
25	from	ADP	26	case
26	Kazakhstan	PROPN	24	obl
27	to	ADP	28	case
28	China	PROPN	24	obl
29	.	PUNCT	3	punct