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:
some beautiful locations like close to Karol Bagh Shopping Market, Presidential Palace, and Birla Mandir Temple and Connaught Place and Jantar Mantar are near to it.
Postion	Tokenization
1	some
2	beautiful
3	locations
4	like
5	close
6	to
7	Karol
8	Bagh
9	Shopping
10	Market
11	,
12	Presidential
13	Palace
14	,
15	and
16	Birla
17	Mandir
18	Temple
19	and
20	Connaught
21	Place
22	and
23	Jantar
24	Mantar
25	are
26	near
27	to
28	it
29	.
Position	Tokenization	UPOS	Head	Deprel
1	some	DET	3	det
2	beautiful	ADJ	3	amod
3	locations	NOUN	26	nsubj
4	like	ADP	5	case
5	close	ADV	3	nmod
6	to	ADP	10	case
7	Karol	PROPN	8	compound
8	Bagh	PROPN	10	compound
9	Shopping	PROPN	10	compound
10	Market	PROPN	5	obl
11	,	PUNCT	13	punct
12	Presidential	PROPN	13	compound
13	Palace	PROPN	10	conj
14	,	PUNCT	18	punct
15	and	CCONJ	18	cc
16	Birla	PROPN	17	compound
17	Mandir	PROPN	18	compound
18	Temple	PROPN	10	conj
19	and	CCONJ	21	cc
20	Connaught	PROPN	21	compound
21	Place	PROPN	10	conj
22	and	CCONJ	24	cc
23	Jantar	PROPN	24	compound
24	Mantar	PROPN	10	conj
25	are	AUX	26	cop
26	near	ADV	0	root
27	to	ADP	28	case
28	it	PRON	26	obl
29	.	PUNCT	26	punct