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:
Bradley's record of 300 phenophases found that even prior to 1999, spring was arriving in higher latitudes several weeks earlier than in the earlier years of her data.
Postion	Tokenization
1	Bradley's
2	Bradley
3	's
4	record
5	of
6	300
7	phenophases
8	found
9	that
10	even
11	prior
12	to
13	1999
14	,
15	spring
16	was
17	arriving
18	in
19	higher
20	latitudes
21	several
22	weeks
23	earlier
24	than
25	in
26	the
27	earlier
28	years
29	of
30	her
31	data
32	.
Position	Tokenization	UPOS	Head	Deprel
1	Bradley's	_	None	_
2	Bradley	PROPN	3	nmod:poss
3	's	PART	1	case
4	record	NOUN	7	nsubj
5	of	ADP	6	case
6	300	NUM	6	nummod
7	phenophases	NOUN	3	nmod
8	found	VERB	0	root
9	that	SCONJ	16	mark
10	even	ADV	12	advmod
11	prior	ADJ	12	case
12	to	ADP	10	fixed
13	1999	NUM	16	obl
14	,	PUNCT	16	punct
15	spring	NOUN	16	nsubj
16	was	AUX	16	aux
17	arriving	VERB	7	ccomp
18	in	ADP	19	case
19	higher	ADJ	19	amod
20	latitudes	NOUN	16	obl
21	several	ADJ	21	amod
22	weeks	NOUN	22	obl:npmod
23	earlier	ADV	16	advmod
24	than	ADP	27	case
25	in	ADP	27	case
26	the	DET	27	det
27	earlier	ADJ	27	amod
28	years	NOUN	22	obl
29	of	ADP	30	case
30	her	PRON	30	nmod:poss
31	data	NOUN	27	nmod
32	.	PUNCT	7	punct