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:
The employees at this Sear's are completely apathetic and there didn't seem to be any sort of management that I could see.
Postion	Tokenization
1	The
2	employees
3	at
4	this
5	Sear's
6	are
7	completely
8	apathetic
9	and
10	there
11	didn't
12	did
13	n't
14	seem
15	to
16	be
17	any
18	sort
19	of
20	management
21	that
22	I
23	could
24	see
25	.
Position	Tokenization	UPOS	Head	Deprel
1	The	DET	2	det
2	employees	NOUN	8	nsubj
3	at	ADP	5	case
4	this	DET	5	det
5	Sear's	PROPN	2	nmod
6	are	AUX	8	cop
7	completely	ADV	8	advmod
8	apathetic	ADJ	0	root
9	and	CCONJ	13	cc
10	there	PRON	13	expl
11	didn't	_	None	_
12	did	AUX	13	aux
13	n't	PART	13	advmod
14	seem	VERB	8	conj
15	to	PART	15	mark
16	be	VERB	13	csubj
17	any	DET	17	det
18	sort	NOUN	15	nsubj
19	of	ADP	19	case
20	management	NOUN	17	nmod
21	that	PRON	23	obj
22	I	PRON	23	nsubj
23	could	AUX	23	aux
24	see	VERB	19	acl:relcl
25	.	PUNCT	8	punct