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:
He always hugs me when he comes, but he gave me at least 5 tight, long, back rubbing hugs while he was there.
Postion	Tokenization
1	He
2	always
3	hugs
4	me
5	when
6	he
7	comes
8	,
9	but
10	he
11	gave
12	me
13	at
14	least
15	5
16	tight
17	,
18	long
19	,
20	back
21	rubbing
22	hugs
23	while
24	he
25	was
26	there
27	.
Position	Tokenization	UPOS	Head	Deprel
1	He	PRON	3	nsubj
2	always	ADV	3	advmod
3	hugs	VERB	0	root
4	me	PRON	3	obj
5	when	SCONJ	7	mark
6	he	PRON	7	nsubj
7	comes	VERB	3	advcl
8	,	PUNCT	11	punct
9	but	CCONJ	11	cc
10	he	PRON	11	nsubj
11	gave	VERB	3	conj
12	me	PRON	11	iobj
13	at	ADV	14	case
14	least	ADV	15	nmod
15	5	NUM	22	nummod
16	tight	ADJ	22	amod
17	,	PUNCT	22	punct
18	long	ADJ	22	amod
19	,	PUNCT	22	punct
20	back	NOUN	21	obl:npmod
21	rubbing	VERB	22	amod
22	hugs	NOUN	11	obj
23	while	SCONJ	26	mark
24	he	PRON	26	nsubj
25	was	AUX	26	cop
26	there	ADV	11	advcl
27	.	PUNCT	3	punct