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:
Rodeado de decenas de cámaras de televisión y fotógrafos de todo el mundo, el político populista llegó a la estación de esquí a bordo de un helicóptero para seguidamente darse un baño de masas entre sus seguidores, que le habían preparado innumerables sorpresas.
Postion	Tokenization
1	Rodeado
2	de
3	decenas
4	de
5	cámaras
6	de
7	televisión
8	y
9	fotógrafos
10	de
11	todo
12	el
13	mundo
14	,
15	el
16	político
17	populista
18	llegó
19	a
20	la
21	estación
22	de
23	esquí
24	a
25	bordo
26	de
27	un
28	helicóptero
29	para
30	seguidamente
31	darse
32	dar
33	se
34	un
35	baño
36	de
37	masas
38	entre
39	sus
40	seguidores
41	,
42	que
43	le
44	habían
45	preparado
46	innumerables
47	sorpresas
48	.
Position	Tokenization	UPOS	Head	Deprel
1	Rodeado	ADJ	16	amod
2	de	ADP	3	case
3	decenas	NOUN	1	obj
4	de	ADP	5	case
5	cámaras	NOUN	3	nmod
6	de	ADP	7	case
7	televisión	NOUN	5	nmod
8	y	CCONJ	9	cc
9	fotógrafos	NOUN	3	conj
10	de	ADP	13	case
11	todo	DET	12	det
12	el	DET	13	det
13	mundo	NOUN	3	nmod
14	,	PUNCT	1	punct
15	el	DET	16	det
16	político	NOUN	18	nsubj
17	populista	ADJ	16	amod
18	llegó	VERB	0	root
19	a	ADP	21	case
20	la	DET	21	det
21	estación	NOUN	18	obl
22	de	ADP	23	case
23	esquí	NOUN	21	nmod
24	a	ADP	18	advmod
25	bordo	NOUN	24	fixed
26	de	ADP	28	case
27	un	DET	28	det
28	helicóptero	NOUN	24	obl
29	para	ADP	31	mark
30	seguidamente	ADV	31	advmod
31	darse	_	None	_
32	dar	VERB	18	advcl
33	se	PRON	31	iobj
34	un	DET	34	det
35	baño	NOUN	31	obj
36	de	ADP	36	case
37	masas	NOUN	34	nmod
38	entre	ADP	39	case
39	sus	DET	39	det
40	seguidores	NOUN	34	nmod
41	,	PUNCT	44	punct
42	que	PRON	44	nsubj
43	le	PRON	44	obj
44	habían	AUX	44	aux
45	preparado	VERB	39	acl
46	innumerables	ADJ	46	amod
47	sorpresas	NOUN	44	obj
48	.	PUNCT	18	punct