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: "Část jeho osobnosti by se však těžce vypořádávala s tím, že zrovna on, který si tak dlouho ze zavedených vrstev střílel, by měl být najednou přijat mezi ně," uvedl pro BBC.
Position	Tokenization	UPOS	Head	Deprel
1	"	PUNCT	9	punct
2	Část	NOUN	9	nsubj
3	jeho	DET	4	det
4	osobnosti	NOUN	2	nmod
5	by	AUX	9	aux
6	se	PRON	9	expl:pv
7	však	CCONJ	9	cc
8	těžce	ADV	9	advmod
9	vypořádávala	VERB	35	ccomp
10	s	ADP	11	case
11	tím	DET	9	obl
12	,	PUNCT	27	punct
13	že	SCONJ	27	mark
14	zrovna	ADV	15	advmod:emph
15	on	PRON	27	nsubj
16	,	PUNCT	24	punct
17	který	DET	24	nsubj
18	si	PRON	24	expl:pv
19	tak	ADV	20	advmod
20	dlouho	ADV	24	advmod
21	ze	ADP	23	case
22	zavedených	ADJ	23	amod
23	vrstev	NOUN	24	obl:arg
24	střílel	VERB	15	acl:relcl
25	,	PUNCT	24	punct
26	by	AUX	27	aux
27	měl	VERB	11	acl
28	být	AUX	30	aux:pass
29	najednou	ADV	27	advmod
30	přijat	ADJ	27	obj
31	mezi	ADP	32	case
32	ně	PRON	30	obl
33	,	PUNCT	9	punct
34	"	PUNCT	9	punct
35	uvedl	VERB	0	root
36	pro	ADP	37	case
37	BBC	PROPN	35	obl
38	.	PUNCT	35	punct