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:
* Provides a high degree of rate stability, with a 3.5% escalator to capture both inflation and the cost of needed capital projects.
Postion	Tokenization
1	*
2	Provides
3	a
4	high
5	degree
6	of
7	rate
8	stability
9	,
10	with
11	a
12	3.5
13	%
14	escalator
15	to
16	capture
17	both
18	inflation
19	and
20	the
21	cost
22	of
23	needed
24	capital
25	projects
26	.
Position	Tokenization	UPOS	Head	Deprel
1	*	PUNCT	2	punct
2	Provides	VERB	0	root
3	a	DET	5	det
4	high	ADJ	5	amod
5	degree	NOUN	2	obj
6	of	ADP	8	case
7	rate	NOUN	8	compound
8	stability	NOUN	5	nmod
9	,	PUNCT	2	punct
10	with	ADP	14	case
11	a	DET	14	det
12	3.5	NUM	13	nummod
13	%	SYM	14	compound
14	escalator	NOUN	2	obl
15	to	PART	16	mark
16	capture	VERB	14	acl
17	both	CCONJ	18	cc:preconj
18	inflation	NOUN	16	obj
19	and	CCONJ	21	cc
20	the	DET	21	det
21	cost	NOUN	18	conj
22	of	ADP	25	case
23	needed	VERB	25	amod
24	capital	NOUN	25	compound
25	projects	NOUN	21	nmod
26	.	PUNCT	2	punct