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:
Por suerte no he entrado en esa dinámica enloquecida de algunas estrellas, que impide subir al podio tan seguro como sería de desear ", explica.
Postion	Tokenization
1	Por
2	suerte
3	no
4	he
5	entrado
6	en
7	esa
8	dinámica
9	enloquecida
10	de
11	algunas
12	estrellas
13	,
14	que
15	impide
16	subir
17	al
18	podio
19	tan
20	seguro
21	como
22	sería
23	de
24	desear
25	"
26	,
27	explica
28	.
Position	Tokenization	UPOS	Head	Deprel
1	Por	ADP	2	case
2	suerte	NOUN	5	obl
3	no	ADV	5	advmod
4	he	AUX	5	aux
5	entrado	VERB	27	ccomp
6	en	ADP	8	case
7	esa	DET	8	det
8	dinámica	NOUN	5	obl
9	enloquecida	ADJ	8	amod
10	de	ADP	12	case
11	algunas	DET	12	det
12	estrellas	NOUN	8	nmod
13	,	PUNCT	15	punct
14	que	PRON	15	nsubj
15	impide	VERB	8	acl
16	subir	VERB	15	xcomp
17	al	ADP	18	case
18	podio	NOUN	16	obl
19	tan	ADV	20	advmod
20	seguro	ADJ	18	amod
21	como	SCONJ	22	mark
22	sería	AUX	20	advcl
23	de	ADP	24	mark
24	desear	VERB	22	ccomp
25	"	PUNCT	5	punct
26	,	PUNCT	5	punct
27	explica	VERB	0	root
28	.	PUNCT	27	punct