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:
Some board members pushed to have Winter removed, but there were concerns such action would lead to more chaos, the governor's spokesman Maviglio said.
Postion	Tokenization
1	Some
2	board
3	members
4	pushed
5	to
6	have
7	Winter
8	removed
9	,
10	but
11	there
12	were
13	concerns
14	such
15	action
16	would
17	lead
18	to
19	more
20	chaos
21	,
22	the
23	governor's
24	governor
25	's
26	spokesman
27	Maviglio
28	said
29	.
Position	Tokenization	UPOS	Head	Deprel
1	Some	DET	3	det
2	board	NOUN	3	compound
3	members	NOUN	4	nsubj
4	pushed	VERB	27	ccomp
5	to	PART	6	mark
6	have	VERB	4	advcl
7	Winter	PROPN	8	nsubj
8	removed	VERB	6	ccomp
9	,	PUNCT	12	punct
10	but	CCONJ	12	cc
11	there	PRON	12	expl
12	were	VERB	4	conj
13	concerns	NOUN	12	nsubj
14	such	ADJ	15	amod
15	action	NOUN	17	nsubj
16	would	AUX	17	aux
17	lead	VERB	13	acl:relcl
18	to	ADP	20	case
19	more	ADJ	20	amod
20	chaos	NOUN	17	obl
21	,	PUNCT	27	punct
22	the	DET	23	det
23	governor's	_	None	_
24	governor	NOUN	25	nmod:poss
25	's	PART	23	case
26	spokesman	NOUN	26	compound
27	Maviglio	PROPN	27	nsubj
28	said	VERB	0	root
29	.	PUNCT	27	punct