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:
Take the messages for what they are: she has no objection in you being pals at uni, but she does not want to take matters further.
Postion	Tokenization
1	Take
2	the
3	messages
4	for
5	what
6	they
7	are
8	:
9	she
10	has
11	no
12	objection
13	in
14	you
15	being
16	pals
17	at
18	uni
19	,
20	but
21	she
22	does
23	not
24	want
25	to
26	take
27	matters
28	further
29	.
Position	Tokenization	UPOS	Head	Deprel
1	Take	VERB	0	root
2	the	DET	3	det
3	messages	NOUN	1	obj
4	for	SCONJ	5	mark
5	what	PRON	1	advcl
6	they	PRON	5	nsubj
7	are	AUX	5	cop
8	:	PUNCT	1	punct
9	she	PRON	10	nsubj
10	has	VERB	1	parataxis
11	no	DET	12	det
12	objection	NOUN	10	obj
13	in	SCONJ	16	mark
14	you	PRON	16	nsubj
15	being	AUX	16	cop
16	pals	NOUN	12	acl
17	at	ADP	18	case
18	uni	NOUN	16	nmod
19	,	PUNCT	24	punct
20	but	CCONJ	24	cc
21	she	PRON	24	nsubj
22	does	AUX	24	aux
23	not	PART	24	advmod
24	want	VERB	10	conj
25	to	PART	26	mark
26	take	VERB	24	xcomp
27	matters	NOUN	26	obj
28	further	ADV	26	advmod
29	.	PUNCT	1	punct