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:
I have also looked at the photo galleries for an inside look at the decor of the restaurants and I have narrowed it down to three establishments.
Postion	Tokenization
1	I
2	have
3	also
4	looked
5	at
6	the
7	photo
8	galleries
9	for
10	an
11	inside
12	look
13	at
14	the
15	decor
16	of
17	the
18	restaurants
19	and
20	I
21	have
22	narrowed
23	it
24	down
25	to
26	three
27	establishments
28	.
Position	Tokenization	UPOS	Head	Deprel
1	I	PRON	4	nsubj
2	have	AUX	4	aux
3	also	ADV	4	advmod
4	looked	VERB	0	root
5	at	ADP	8	case
6	the	DET	8	det
7	photo	NOUN	8	compound
8	galleries	NOUN	4	obl
9	for	ADP	12	case
10	an	DET	12	det
11	inside	ADJ	12	amod
12	look	NOUN	4	obl
13	at	ADP	15	case
14	the	DET	15	det
15	decor	NOUN	12	nmod
16	of	ADP	18	case
17	the	DET	18	det
18	restaurants	NOUN	15	nmod
19	and	CCONJ	22	cc
20	I	PRON	22	nsubj
21	have	AUX	22	aux
22	narrowed	VERB	4	conj
23	it	PRON	22	obj
24	down	ADP	22	compound:prt
25	to	ADP	27	case
26	three	NUM	27	nummod
27	establishments	NOUN	22	obl
28	.	PUNCT	4	punct