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:
They also made one other change, they are taking out the "subject to recall" language at the bottom of page 2 under item #1.
Postion	Tokenization
1	They
2	also
3	made
4	one
5	other
6	change
7	,
8	they
9	are
10	taking
11	out
12	the
13	"
14	subject
15	to
16	recall
17	"
18	language
19	at
20	the
21	bottom
22	of
23	page
24	2
25	under
26	item
27	#
28	1
29	.
Position	Tokenization	UPOS	Head	Deprel
1	They	PRON	3	nsubj
2	also	ADV	3	advmod
3	made	VERB	0	root
4	one	NUM	6	nummod
5	other	ADJ	6	amod
6	change	NOUN	3	obj
7	,	PUNCT	3	punct
8	they	PRON	10	nsubj
9	are	AUX	10	aux
10	taking	VERB	3	parataxis
11	out	ADP	10	compound:prt
12	the	DET	18	det
13	"	PUNCT	18	punct
14	subject	ADJ	18	amod
15	to	ADP	16	case
16	recall	NOUN	14	obl
17	"	PUNCT	18	punct
18	language	NOUN	10	obj
19	at	ADP	21	case
20	the	DET	21	det
21	bottom	NOUN	10	obl
22	of	ADP	23	case
23	page	NOUN	21	nmod
24	2	NUM	23	nummod
25	under	ADP	27	case
26	item	NOUN	27	compound
27	#	SYM	10	obl
28	1	NUM	27	nummod
29	.	PUNCT	3	punct