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:
El equipo donostiarra que dirige Javier Clemente, socio del Athletic, supera en la clasificación al conjunto bilbaíno después de estar por detrás durante 26 jornadas.
Postion	Tokenization
1	El
2	equipo
3	donostiarra
4	que
5	dirige
6	Javier
7	Clemente
8	,
9	socio
10	del
11	Athletic
12	,
13	supera
14	en
15	la
16	clasificación
17	al
18	conjunto
19	bilbaíno
20	después
21	de
22	estar
23	por
24	detrás
25	durante
26	26
27	jornadas
28	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	2	det
2	equipo	NOUN	13	nsubj
3	donostiarra	ADJ	2	amod
4	que	PRON	5	obj
5	dirige	VERB	2	acl
6	Javier	PROPN	5	nsubj
7	Clemente	PROPN	6	flat
8	,	PUNCT	9	punct
9	socio	NOUN	6	appos
10	del	ADP	11	case
11	Athletic	PROPN	9	nmod
12	,	PUNCT	9	punct
13	supera	VERB	0	root
14	en	ADP	16	case
15	la	DET	16	det
16	clasificación	NOUN	13	obl
17	al	ADP	18	case
18	conjunto	NOUN	13	obj
19	bilbaíno	ADJ	18	amod
20	después	ADV	13	advmod
21	de	ADP	22	mark
22	estar	VERB	20	advcl
23	por	ADP	24	case
24	detrás	ADV	22	advmod
25	durante	ADP	27	case
26	26	NUM	27	nummod
27	jornadas	NOUN	22	obl
28	.	PUNCT	13	punct