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:
(this way the will associate your hand with food, and birds love food lol) Then I turned on the tv and watch.
Postion	Tokenization
1	(
2	this
3	way
4	the
5	will
6	associate
7	your
8	hand
9	with
10	food
11	,
12	and
13	birds
14	love
15	food
16	lol
17	)
18	Then
19	I
20	turned
21	on
22	the
23	tv
24	and
25	watch
26	.
Position	Tokenization	UPOS	Head	Deprel
1	(	PUNCT	6	punct
2	this	DET	3	det
3	way	NOUN	6	obl:npmod
4	the	PRON	6	nsubj
5	will	AUX	6	aux
6	associate	VERB	20	parataxis
7	your	PRON	8	nmod:poss
8	hand	NOUN	6	obj
9	with	ADP	10	case
10	food	NOUN	6	obl
11	,	PUNCT	14	punct
12	and	CCONJ	14	cc
13	birds	NOUN	14	nsubj
14	love	VERB	6	conj
15	food	NOUN	14	obj
16	lol	INTJ	6	discourse
17	)	PUNCT	6	punct
18	Then	ADV	20	advmod
19	I	PRON	20	nsubj
20	turned	VERB	0	root
21	on	ADP	20	compound:prt
22	the	DET	23	det
23	tv	NOUN	20	obj
24	and	CCONJ	25	cc
25	watch	VERB	20	conj
26	.	PUNCT	20	punct