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:
Eso acaba por quitarles la dimensión supersticiosa y querría tener uno como pisapapel en mi mesa, pero ese uh! adulatorio del que hablaba antes me intimida.
Postion	Tokenization
1	Eso
2	acaba
3	por
4	quitarles
5	quitar
6	les
7	la
8	dimensión
9	supersticiosa
10	y
11	querría
12	tener
13	uno
14	como
15	pisapapel
16	en
17	mi
18	mesa
19	,
20	pero
21	ese
22	uh
23	!
24	adulatorio
25	del
26	que
27	hablaba
28	antes
29	me
30	intimida
31	.
Position	Tokenization	UPOS	Head	Deprel
1	Eso	PRON	2	nsubj
2	acaba	VERB	0	root
3	por	ADP	4	mark
4	quitarles	_	None	_
5	quitar	VERB	2	advcl
6	les	PRON	4	obj
7	la	DET	7	det
8	dimensión	NOUN	4	obj
9	supersticiosa	ADJ	7	amod
10	y	CCONJ	10	cc
11	querría	VERB	2	conj
12	tener	VERB	10	xcomp
13	uno	PRON	11	obj
14	como	SCONJ	14	mark
15	pisapapel	NOUN	11	obl
16	en	ADP	17	case
17	mi	DET	17	det
18	mesa	NOUN	11	obl
19	,	PUNCT	29	punct
20	pero	CCONJ	29	cc
21	ese	DET	21	det
22	uh	NOUN	29	nsubj
23	!	PUNCT	21	punct
24	adulatorio	ADJ	21	amod
25	del	ADP	25	case
26	que	PRON	26	obj
27	hablaba	VERB	21	acl
28	antes	ADV	26	advmod
29	me	PRON	29	obj
30	intimida	VERB	2	conj
31	.	PUNCT	2	punct