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 heard that a company (here is a link: http://news.yahoo.com/nestl-purina-releases-commercial-aimed-dogs-183443091.html ) is trying to make a dog food commercial aimed at dogs, complete with squeaky chew-toy sounds, and high pitched sounds that humans can't hear.
Postion	Tokenization
1	I
2	heard
3	that
4	a
5	company
6	(
7	here
8	is
9	a
10	link
11	:
12	http://news.yahoo.com/nestl-purina-releases-commercial-aimed-dogs-183443091.html
13	)
14	is
15	trying
16	to
17	make
18	a
19	dog
20	food
21	commercial
22	aimed
23	at
24	dogs
25	,
26	complete
27	with
28	squeaky
29	chew
30	-
31	toy
32	sounds
33	,
34	and
35	high
36	pitched
37	sounds
38	that
39	humans
40	can't
41	ca
42	n't
43	hear
44	.
Position	Tokenization	UPOS	Head	Deprel
1	I	PRON	2	nsubj
2	heard	VERB	0	root
3	that	SCONJ	15	mark
4	a	DET	5	det
5	company	NOUN	15	nsubj
6	(	PUNCT	12	punct
7	here	ADV	5	parataxis
8	is	AUX	7	cop
9	a	DET	10	det
10	link	NOUN	7	nsubj
11	:	PUNCT	12	punct
12	http://news.yahoo.com/nestl-purina-releases-commercial-aimed-dogs-183443091.html	X	10	appos
13	)	PUNCT	12	punct
14	is	AUX	15	aux
15	trying	VERB	2	ccomp
16	to	PART	17	mark
17	make	VERB	15	xcomp
18	a	DET	21	det
19	dog	NOUN	21	compound
20	food	NOUN	21	compound
21	commercial	NOUN	17	obj
22	aimed	VERB	21	acl
23	at	ADP	24	case
24	dogs	NOUN	22	obl
25	,	PUNCT	21	punct
26	complete	ADJ	21	amod
27	with	ADP	32	case
28	squeaky	ADJ	32	amod
29	chew	NOUN	31	compound
30	-	PUNCT	31	punct
31	toy	NOUN	32	compound
32	sounds	NOUN	26	obl
33	,	PUNCT	37	punct
34	and	CCONJ	37	cc
35	high	ADJ	36	compound
36	pitched	VERB	37	amod
37	sounds	NOUN	32	conj
38	that	PRON	42	obj
39	humans	VERB	42	nsubj
40	can't	_	None	_
41	ca	AUX	42	aux
42	n't	PART	42	advmod
43	hear	VERB	37	acl:relcl
44	.	PUNCT	2	punct