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 Tribunal Militar de Beirut, que celebra sesiones maratonianas tres veces por semana para juzgar a más de 2.200 libaneses sospechosos de "colaboración" con Israel, condenó ayer a 42 personas.
Postion	Tokenization
1	El
2	Tribunal
3	Militar
4	de
5	Beirut
6	,
7	que
8	celebra
9	sesiones
10	maratonianas
11	tres
12	veces
13	por
14	semana
15	para
16	juzgar
17	a
18	más
19	de
20	2.200
21	libaneses
22	sospechosos
23	de
24	"
25	colaboración
26	"
27	con
28	Israel
29	,
30	condenó
31	ayer
32	a
33	42
34	personas
35	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	2	det
2	Tribunal	PROPN	30	nsubj
3	Militar	PROPN	2	flat
4	de	ADP	5	case
5	Beirut	PROPN	2	flat
6	,	PUNCT	8	punct
7	que	PRON	8	nsubj
8	celebra	VERB	2	acl
9	sesiones	NOUN	8	obj
10	maratonianas	ADJ	9	amod
11	tres	NUM	12	nummod
12	veces	NOUN	8	obl
13	por	ADP	14	case
14	semana	NOUN	12	nmod
15	para	ADP	16	mark
16	juzgar	VERB	8	advcl
17	a	ADP	21	case
18	más	ADV	21	advmod
19	de	ADP	18	case
20	2.200	NUM	18	nummod
21	libaneses	NOUN	16	obj
22	sospechosos	ADJ	21	amod
23	de	ADP	25	case
24	"	PUNCT	25	punct
25	colaboración	NOUN	22	nmod
26	"	PUNCT	25	punct
27	con	ADP	28	case
28	Israel	PROPN	25	nmod
29	,	PUNCT	8	punct
30	condenó	VERB	0	root
31	ayer	ADV	30	advmod
32	a	ADP	34	case
33	42	NUM	34	nummod
34	personas	NOUN	30	obj
35	.	PUNCT	30	punct