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:
En el otro encuentro de este grupo también hubo sorpresa con el triunfo del Olympique de Marsella, que no tenía ningún punto, sobre el Chelsea, líder hasta entonces.
Postion	Tokenization
1	En
2	el
3	otro
4	encuentro
5	de
6	este
7	grupo
8	también
9	hubo
10	sorpresa
11	con
12	el
13	triunfo
14	del
15	Olympique
16	de
17	Marsella
18	,
19	que
20	no
21	tenía
22	ningún
23	punto
24	,
25	sobre
26	el
27	Chelsea
28	,
29	líder
30	hasta
31	entonces
32	.
Position	Tokenization	UPOS	Head	Deprel
1	En	ADP	4	case
2	el	DET	4	det
3	otro	DET	2	det
4	encuentro	NOUN	9	obl
5	de	ADP	7	case
6	este	DET	7	det
7	grupo	NOUN	4	nmod
8	también	ADV	9	advmod
9	hubo	AUX	0	root
10	sorpresa	NOUN	9	obj
11	con	ADP	13	case
12	el	DET	13	det
13	triunfo	NOUN	9	obl
14	del	ADP	15	case
15	Olympique	PROPN	13	nmod
16	de	ADP	17	case
17	Marsella	PROPN	15	flat
18	,	PUNCT	21	punct
19	que	PRON	21	nsubj
20	no	ADV	21	advmod
21	tenía	VERB	15	acl
22	ningún	DET	23	det
23	punto	NOUN	21	obj
24	,	PUNCT	21	punct
25	sobre	ADP	27	case
26	el	DET	27	det
27	Chelsea	PROPN	13	nmod
28	,	PUNCT	29	punct
29	líder	NOUN	27	appos
30	hasta	ADP	31	case
31	entonces	ADV	29	advmod
32	.	PUNCT	9	punct