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 Zaragoza se convirtió en el tercer equipo que gana en el estadio Los Pajaritos a un Numancia que ha perdido gas y que sólo ha sumado diez puntos en las diez últimas jornadas.
Postion	Tokenization
1	El
2	Zaragoza
3	se
4	convirtió
5	en
6	el
7	tercer
8	equipo
9	que
10	gana
11	en
12	el
13	estadio
14	Los
15	Pajaritos
16	a
17	un
18	Numancia
19	que
20	ha
21	perdido
22	gas
23	y
24	que
25	sólo
26	ha
27	sumado
28	diez
29	puntos
30	en
31	las
32	diez
33	últimas
34	jornadas
35	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	2	det
2	Zaragoza	PROPN	4	nsubj
3	se	PRON	4	expl:pv
4	convirtió	VERB	0	root
5	en	ADP	8	case
6	el	DET	8	det
7	tercer	ADJ	8	amod
8	equipo	NOUN	4	obj
9	que	PRON	10	nsubj
10	gana	VERB	8	acl
11	en	ADP	13	case
12	el	DET	13	det
13	estadio	NOUN	10	obl
14	Los	DET	15	det
15	Pajaritos	PROPN	13	appos
16	a	ADP	18	case
17	un	DET	18	det
18	Numancia	PROPN	10	obj
19	que	PRON	21	nsubj
20	ha	AUX	21	aux
21	perdido	VERB	18	acl
22	gas	NOUN	21	obj
23	y	CCONJ	27	cc
24	que	PRON	27	nsubj
25	sólo	ADV	27	advmod
26	ha	AUX	27	aux
27	sumado	VERB	21	conj
28	diez	NUM	29	nummod
29	puntos	NOUN	27	obj
30	en	ADP	34	case
31	las	DET	34	det
32	diez	NUM	31	nummod
33	últimas	ADJ	34	amod
34	jornadas	NOUN	27	obl
35	.	PUNCT	4	punct