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:
Over nine dozen temples that had served the Hindu population have been destroyed, with some used as building material and others as urinals.
Postion	Tokenization
1	Over
2	nine
3	dozen
4	temples
5	that
6	had
7	served
8	the
9	Hindu
10	population
11	have
12	been
13	destroyed
14	,
15	with
16	some
17	used
18	as
19	building
20	material
21	and
22	others
23	used
24	as
25	urinals
26	.
Position	Tokenization	UPOS	Head	Deprel
1	Over	ADV	3	advmod
2	nine	NUM	3	compound
3	dozen	NOUN	4	nummod
4	temples	NOUN	13	nsubj:pass
5	that	PRON	7	nsubj
6	had	AUX	7	aux
7	served	VERB	4	acl:relcl
8	the	DET	10	det
9	Hindu	ADJ	10	amod
10	population	NOUN	7	obj
11	have	AUX	13	aux
12	been	AUX	13	aux:pass
13	destroyed	VERB	0	root
14	,	PUNCT	13	punct
15	with	SCONJ	17	mark
16	some	DET	17	nsubj
17	used	VERB	13	advcl
18	as	ADP	20	case
19	building	NOUN	20	compound
20	material	NOUN	17	obl
21	and	CCONJ	22	cc
22	others	NOUN	17	conj
23	used	VERB	None	_
24	as	ADP	24	case
25	urinals	NOUN	22	orphan
26	.	PUNCT	13	punct