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:
there might be bigger and more well known bagel places in the area but Family Bagels are nice people, small shop and incredibly friendly.
Postion	Tokenization
1	there
2	might
3	be
4	bigger
5	and
6	more
7	well
8	known
9	bagel
10	places
11	in
12	the
13	area
14	but
15	Family
16	Bagels
17	are
18	nice
19	people
20	,
21	small
22	shop
23	and
24	incredibly
25	friendly
26	.
Position	Tokenization	UPOS	Head	Deprel
1	there	PRON	3	expl
2	might	AUX	3	aux
3	be	VERB	0	root
4	bigger	ADJ	10	amod
5	and	CCONJ	8	cc
6	more	ADV	8	advmod
7	well	ADV	8	advmod
8	known	VERB	4	conj
9	bagel	NOUN	10	compound
10	places	NOUN	3	nsubj
11	in	ADP	13	case
12	the	DET	13	det
13	area	NOUN	10	nmod
14	but	CCONJ	19	cc
15	Family	PROPN	16	compound
16	Bagels	PROPN	19	nsubj
17	are	AUX	19	cop
18	nice	ADJ	19	amod
19	people	NOUN	10	conj
20	,	PUNCT	22	punct
21	small	ADJ	22	amod
22	shop	NOUN	19	conj
23	and	CCONJ	25	cc
24	incredibly	ADV	25	advmod
25	friendly	ADJ	19	conj
26	.	PUNCT	10	punct