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:
You will have to cover the wire flooring like you said, and make fleece covers for the stairs, so no ratty feet get caught and broken.
Postion	Tokenization
1	You
2	will
3	have
4	to
5	cover
6	the
7	wire
8	flooring
9	like
10	you
11	said
12	,
13	and
14	make
15	fleece
16	covers
17	for
18	the
19	stairs
20	,
21	so
22	no
23	ratty
24	feet
25	get
26	caught
27	and
28	broken
29	.
Position	Tokenization	UPOS	Head	Deprel
1	You	PRON	3	nsubj
2	will	AUX	3	aux
3	have	VERB	0	root
4	to	PART	5	mark
5	cover	VERB	3	xcomp
6	the	DET	8	det
7	wire	NOUN	8	compound
8	flooring	NOUN	5	obj
9	like	SCONJ	11	mark
10	you	PRON	11	nsubj
11	said	VERB	5	advcl
12	,	PUNCT	14	punct
13	and	CCONJ	14	cc
14	make	VERB	5	conj
15	fleece	NOUN	16	compound
16	covers	NOUN	14	obj
17	for	ADP	19	case
18	the	DET	19	det
19	stairs	NOUN	16	nmod
20	,	PUNCT	14	punct
21	so	SCONJ	26	mark
22	no	DET	24	det
23	ratty	ADJ	24	amod
24	feet	NOUN	26	nsubj:pass
25	get	AUX	26	aux:pass
26	caught	VERB	14	advcl
27	and	CCONJ	28	cc
28	broken	VERB	26	conj
29	.	PUNCT	3	punct