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:
En pleno rodaje, admite, se llegó a preguntar "si no habría sido mejor participar en un filme donde hubiese tenido el papel de un tranquilo conductor de autobuses".
Postion	Tokenization
1	En
2	pleno
3	rodaje
4	,
5	admite
6	,
7	se
8	llegó
9	a
10	preguntar
11	"
12	si
13	no
14	habría
15	sido
16	mejor
17	participar
18	en
19	un
20	filme
21	donde
22	hubiese
23	tenido
24	el
25	papel
26	de
27	un
28	tranquilo
29	conductor
30	de
31	autobuses
32	"
33	.
Position	Tokenization	UPOS	Head	Deprel
1	En	ADP	3	case
2	pleno	ADJ	3	amod
3	rodaje	NOUN	8	obl
4	,	PUNCT	5	punct
5	admite	VERB	10	parataxis
6	,	PUNCT	5	punct
7	se	PRON	10	iobj
8	llegó	VERB	0	root
9	a	ADP	10	mark
10	preguntar	VERB	8	xcomp
11	"	PUNCT	16	punct
12	si	SCONJ	16	mark
13	no	ADV	16	advmod
14	habría	AUX	16	aux
15	sido	AUX	16	cop
16	mejor	ADJ	10	ccomp
17	participar	VERB	16	csubj
18	en	ADP	20	case
19	un	DET	20	det
20	filme	NOUN	17	obj
21	donde	PRON	23	obl
22	hubiese	AUX	23	aux
23	tenido	VERB	20	acl
24	el	DET	25	det
25	papel	NOUN	23	obj
26	de	ADP	29	case
27	un	DET	29	det
28	tranquilo	ADJ	29	amod
29	conductor	NOUN	25	nmod
30	de	ADP	31	case
31	autobuses	NOUN	29	nmod
32	"	PUNCT	16	punct
33	.	PUNCT	8	punct