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:
No es normal que un jugador de élite como él, que suele acampar entre los 20 primeros del ranking, sea eliminado en primera ronda las cinco veces que ha competido en las pistas neoyorquinas.
Postion	Tokenization
1	No
2	es
3	normal
4	que
5	un
6	jugador
7	de
8	élite
9	como
10	él
11	,
12	que
13	suele
14	acampar
15	entre
16	los
17	20
18	primeros
19	del
20	ranking
21	,
22	sea
23	eliminado
24	en
25	primera
26	ronda
27	las
28	cinco
29	veces
30	que
31	ha
32	competido
33	en
34	las
35	pistas
36	neoyorquinas
37	.
Position	Tokenization	UPOS	Head	Deprel
1	No	ADV	3	advmod
2	es	AUX	3	cop
3	normal	ADJ	0	root
4	que	SCONJ	23	mark
5	un	DET	6	det
6	jugador	NOUN	23	nsubj
7	de	ADP	8	case
8	élite	NOUN	6	nmod
9	como	SCONJ	10	mark
10	él	PRON	6	nmod
11	,	PUNCT	13	punct
12	que	PRON	13	nsubj
13	suele	VERB	6	acl
14	acampar	VERB	13	xcomp
15	entre	ADP	18	case
16	los	DET	17	det
17	20	NUM	18	nummod
18	primeros	ADJ	13	obl
19	del	ADP	20	case
20	ranking	NOUN	18	nmod
21	,	PUNCT	13	punct
22	sea	AUX	23	aux
23	eliminado	VERB	3	csubj
24	en	ADP	26	case
25	primera	ADJ	26	amod
26	ronda	NOUN	23	obl
27	las	DET	29	det
28	cinco	NUM	27	nummod
29	veces	NOUN	23	obl
30	que	PRON	32	obl
31	ha	AUX	32	aux
32	competido	VERB	29	acl
33	en	ADP	35	case
34	las	DET	35	det
35	pistas	NOUN	32	obl
36	neoyorquinas	ADJ	35	amod
37	.	PUNCT	3	punct