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:
extend the time he is out each day, but for the first month, always put him in his room at night, so he feels safe to sleep.
Postion	Tokenization
1	extend
2	the
3	time
4	he
5	is
6	out
7	each
8	day
9	,
10	but
11	for
12	the
13	first
14	month
15	,
16	always
17	put
18	him
19	in
20	his
21	room
22	at
23	night
24	,
25	so
26	he
27	feels
28	safe
29	to
30	sleep
31	.
Position	Tokenization	UPOS	Head	Deprel
1	extend	VERB	0	root
2	the	DET	3	det
3	time	NOUN	1	obj
4	he	PRON	6	nsubj
5	is	AUX	6	cop
6	out	ADV	3	acl:relcl
7	each	DET	8	det
8	day	NOUN	1	obl:tmod
9	,	PUNCT	17	punct
10	but	CCONJ	17	cc
11	for	ADP	14	case
12	the	DET	14	det
13	first	ADJ	14	amod
14	month	NOUN	17	obl
15	,	PUNCT	17	punct
16	always	ADV	17	advmod
17	put	VERB	1	conj
18	him	PRON	17	obj
19	in	ADP	21	case
20	his	PRON	21	nmod:poss
21	room	NOUN	17	obl
22	at	ADP	23	case
23	night	NOUN	17	obl
24	,	PUNCT	17	punct
25	so	SCONJ	27	mark
26	he	PRON	27	nsubj
27	feels	VERB	17	advcl
28	safe	ADJ	27	xcomp
29	to	PART	30	mark
30	sleep	VERB	28	advcl
31	.	PUNCT	1	punct