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:
Nina Leopold Bradley, a plant ecologist and daughter of the conservation pioneer Aldo Leopold, published a 1999 paper in the Proceedings of the National Academy of Sciences on her 61-year uninterrupted phenological records.
Postion	Tokenization
1	Nina
2	Leopold
3	Bradley
4	,
5	a
6	plant
7	ecologist
8	and
9	daughter
10	of
11	the
12	conservation
13	pioneer
14	Aldo
15	Leopold
16	,
17	published
18	a
19	1999
20	paper
21	in
22	the
23	Proceedings
24	of
25	the
26	National
27	Academy
28	of
29	Sciences
30	on
31	her
32	61
33	-
34	year
35	uninterrupted
36	phenological
37	records
38	.
Position	Tokenization	UPOS	Head	Deprel
1	Nina	PROPN	17	nsubj
2	Leopold	PROPN	1	flat
3	Bradley	PROPN	1	flat
4	,	PUNCT	1	punct
5	a	DET	7	det
6	plant	NOUN	7	compound
7	ecologist	NOUN	1	appos
8	and	CCONJ	9	cc
9	daughter	NOUN	7	conj
10	of	ADP	13	case
11	the	DET	13	det
12	conservation	NOUN	13	compound
13	pioneer	NOUN	9	nmod
14	Aldo	PROPN	13	appos
15	Leopold	PROPN	14	flat
16	,	PUNCT	17	punct
17	published	VERB	0	root
18	a	DET	20	det
19	1999	NUM	20	nummod
20	paper	NOUN	17	obj
21	in	ADP	23	case
22	the	DET	23	det
23	Proceedings	PROPN	17	obl
24	of	ADP	27	case
25	the	DET	27	det
26	National	PROPN	27	compound
27	Academy	PROPN	23	nmod
28	of	ADP	29	case
29	Sciences	PROPN	27	nmod
30	on	ADP	37	case
31	her	PRON	37	nmod:poss
32	61	NUM	34	nummod
33	-	PUNCT	34	punct
34	year	NOUN	37	compound
35	uninterrupted	ADJ	37	amod
36	phenological	ADJ	37	amod
37	records	NOUN	17	obl
38	.	PUNCT	17	punct