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: Spíše než mít pocit znechucení vědeckým naladěním, říká, měli bychom je velebit za to, že nás fyzika vede do přátelštější budoucnosti: "na nejneuvěřitelnějších místech, mezi urychlovači částic a počítači, se vynořuje naše vlastní Cesta bez Tvaru.
Position	Tokenization	UPOS	Head	Deprel
1	Spíše	ADV	14	advmod
2	než	SCONJ	3	mark
3	mít	VERB	1	advcl
4	pocit	NOUN	3	obj
5	znechucení	NOUN	4	nmod
6	vědeckým	ADJ	7	amod
7	naladěním	NOUN	5	nmod
8	,	PUNCT	1	punct
9	říká	VERB	0	root
10	,	PUNCT	9	punct
11	měli	VERB	9	ccomp
12	bychom	AUX	11	aux
13	je	PRON	14	obj
14	velebit	VERB	11	xcomp
15	za	ADP	16	case
16	to	DET	14	obl
17	,	PUNCT	21	punct
18	že	SCONJ	21	mark
19	nás	PRON	21	obj
20	fyzika	NOUN	21	nsubj
21	vede	VERB	16	acl
22	do	ADP	24	case
23	přátelštější	ADJ	24	amod
24	budoucnosti	NOUN	21	obl
25	:	PUNCT	38	punct
26	"	PUNCT	38	punct
27	na	ADP	29	case
28	nejneuvěřitelnějších	ADJ	29	amod
29	místech	NOUN	38	obl
30	,	PUNCT	32	punct
31	mezi	ADP	32	case
32	urychlovači	NOUN	29	appos
33	částic	NOUN	32	nmod
34	a	CCONJ	35	cc
35	počítači	NOUN	32	conj
36	,	PUNCT	32	punct
37	se	PRON	38	expl:pv
38	vynořuje	VERB	21	appos
39	naše	DET	41	det
40	vlastní	ADJ	41	amod
41	Cesta	NOUN	38	nsubj
42	bez	ADP	43	case
43	Tvaru	NOUN	41	nmod
44	.	PUNCT	9	punct