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 text: Koncem letošního ledna psal list China Daily o 230 miliónech "nezaměstnaných", mezi něž byly započteny "přebytečné pracovní síly" ve státních podnicích, ale i nezaměstnaní zemědělci a lehce tělesně postižení, kteří by mohli pracovat.
Position	Tokenization	UPOS	Head	Deprel
1	Koncem	NOUN	3	case
2	letošního	ADJ	3	amod
3	ledna	NOUN	4	obl
4	psal	VERB	0	root
5	list	NOUN	4	nsubj
6	China	PROPN	7	nmod
7	Daily	ADJ	5	amod
8	o	ADP	10	case
9	230	NUM	10	nummod
10	miliónech	NOUN	4	obl:arg
11	"	PUNCT	12	punct
12	nezaměstnaných	NOUN	10	nmod
13	"	PUNCT	12	punct
14	,	PUNCT	18	punct
15	mezi	ADP	16	case
16	něž	PRON	18	obl
17	byly	AUX	18	aux:pass
18	započteny	ADJ	12	amod
19	"	PUNCT	22	punct
20	přebytečné	ADJ	22	amod
21	pracovní	ADJ	22	amod
22	síly	NOUN	18	nsubj:pass
23	"	PUNCT	22	punct
24	ve	ADP	26	case
25	státních	ADJ	26	amod
26	podnicích	NOUN	22	nmod
27	,	PUNCT	31	punct
28	ale	CCONJ	31	cc
29	i	CCONJ	31	advmod:emph
30	nezaměstnaní	ADJ	31	amod
31	zemědělci	NOUN	22	conj
32	a	CCONJ	35	cc
33	lehce	ADV	35	advmod
34	tělesně	ADV	35	advmod
35	postižení	ADJ	31	conj
36	,	PUNCT	39	punct
37	kteří	DET	39	nsubj
38	by	AUX	39	aux
39	mohli	VERB	35	acl:relcl
40	pracovat	VERB	39	xcomp
41	.	PUNCT	4	punct